Bibliographic record
Abstract
第 32 回日本呼吸器外科学会総会号 27(281) 企 画 プ ロ グ ラ ム 理事長報告 DL 理事長報告 5 月 14 日(木) 第 1 会場(サンポートホール高松 3F 大ホール) 12：00-12：30 座長：近藤 丘(東北薬科大学病院) 日本呼吸器外科学会の現状と課題 演者：奥村明之進(大阪大学大学院 医学系研究科 外科学講座 呼吸器外科) 会長講演 PL 会長講演 5 月 15 日(金) 第 1 会場(サンポートホール高松 3F 大ホール) 13：40-14：20 座長：宮本 好博(NHO 姫路医療センター 呼吸器センター 外科) 患者さんの夢をかなえるには、医者が夢を持たなければならない 演者：横見瀬裕保(香川大学医学部 呼吸器・乳腺内分泌外科) 海外招聘講演 IL1 海外招聘講演 1 5 月 14 日(木) 第 1 会場(サンポートホール高松 3F 大ホール) 11：00-12：00 座長：淺村 尚生(慶應義塾大学医学部 呼吸器外科) Chasing Master In the Operating Room and Out：Robotics vs. VATS 演者：Robert
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.247 | 0.171 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".