{"id":"W27271990","doi":"10.1007/s13277-016-5075-1","title":"41542 空調システムの性能評価としてのオフィスの温熱環境実測(選抜梗概,性能評価としての環境実測(2),オーガナイズドセッション,環境工学II)","year":2005,"lang":"en","type":"article","venue":"学術講演梗概集. D-2, 環境工学II, 熱, 湿気, 温熱感, 自然エネルギー, 気流・換気・排煙, 数値流体, 空気清浄, 暖冷房・空調, 熱源設備, 設備応用","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prostate Cancer Canada; Prostate Cancer Foundation","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003187152,0.0003784636,0.0003929813,0.0005488176,0.0006023745,0.0008432812,0.0002300147,0.0003133621,0.01533578],"category_scores_gemma":[0.0002585304,0.0001431756,0.0003257658,0.00122321,0.0002026812,0.0002113096,0.0003070784,0.0004163383,0.007660436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004949084,"about_ca_system_score_gemma":0.0004643635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581389,"about_ca_topic_score_gemma":0.005892055,"domain_scores_codex":[0.9997783,0.00004327774,0.0000185841,0.00007217914,0.00005162904,0.00003600015],"domain_scores_gemma":[0.9998659,0.00001560062,0.00002796279,0.00002010156,0.00003607616,0.0000342407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004720035,0.0008189674,0.3037784,0.001199261,0.0004273914,0.002445283,0.0005938258,0.001000552,0.11762,0.001387186,0.02744073,0.5385684],"study_design_scores_gemma":[0.0002907707,0.004348577,0.5653446,0.0002116064,0.0004766305,0.00803548,0.0006442331,0.001220414,0.05297028,0.0008912046,0.3654734,0.00009281181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545311,0.009903039,0.001729652,0.0003994923,0.000224353,0.0001627839,0.009383948,0.0002834603,0.02338212],"genre_scores_gemma":[0.9168175,0.005706852,0.002273961,0.0006885639,0.0001233431,0.0001794618,0.02009468,0.00004950167,0.05406614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533578,"threshold_uncertainty_score":0.05130333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006815783157357641,"score_gpt":0.2540324530807853,"score_spread":0.2472166699234276,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}