補綴歯科医
ヘルスケアAI露出度
- データ出典: BLS公表時点: 2026-08
低い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.000
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.15
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは92%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみ| Task | Claude.aiRaw / share % |
|---|---|
Collaborate with general dentists, specialists, and other health professionals to develop solutions to dental and oral health concerns.29-1024 | 0.002741.2 |
Design and fabricate dental prostheses, or supervise dental technicians and laboratory bench workers who construct the devices.29-1024 | 0.002029.4 |
Replace missing teeth and associated oral structures with permanent fixtures, such as implant-supported prostheses, crowns and bridges, or removable fixtures, such as dentures.29-1024 | 0.002029.4 |
| Not observed on any surface — 8 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Fit prostheses to patients, making any necessary adjustments and modifications. | —0 |
Measure and take impressions of patients' jaws and teeth to determine the shape and size of dental prostheses, using face bows, dental articulators, recording devices, and other materials. | —0 |
Repair, reline, or rebase dentures. | —0 |
Restore function and aesthetics to traumatic injury victims, or to individuals with diseases or birth defects. | —0 |
Use bonding technology on the surface of the teeth to change tooth shape or to close gaps. | —0 |
Treat facial pain and jaw joint problems. | —0 |
Place veneers onto teeth to conceal defects. | —0 |
Bleach discolored teeth to brighten and whiten them. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Collaborate with general dentists, specialists, and other health professionals to develop solutions to dental and oral health concerns.O*NET Task ID 7746 | 0.5 |
Fit prostheses to patients, making any necessary adjustments and modifications.O*NET Task ID 7743 | 0.0 |
Design and fabricate dental prostheses, or supervise dental technicians and laboratory bench workers who construct the devices.O*NET Task ID 7744 | 0.0 |
Measure and take impressions of patients' jaws and teeth to determine the shape and size of dental prostheses, using face bows, dental articulators, recording devices, and other materials.O*NET Task ID 7745 | 0.0 |
Repair, reline, or rebase dentures.O*NET Task ID 7747 | 0.0 |
Restore function and aesthetics to traumatic injury victims, or to individuals with diseases or birth defects.O*NET Task ID 7748 | 0.0 |
Use bonding technology on the surface of the teeth to change tooth shape or to close gaps.O*NET Task ID 7749 | 0.0 |
Treat facial pain and jaw joint problems.O*NET Task ID 7750 | 0.0 |
Place veneers onto teeth to conceal defects.O*NET Task ID 7751 | 0.0 |
Bleach discolored teeth to brighten and whiten them.O*NET Task ID 7752 | 0.0 |
Replace missing teeth and associated oral structures with permanent fixtures, such as implant-supported prostheses, crowns and bridges, or removable fixtures, such as dentures.O*NET Task ID 20246 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page