{"id":"W2740564554","doi":"","title":"変形性関節症（膝関節）のガイドライン","year":2017,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003671939,0.0003108932,0.0003643449,0.00009633147,0.0006378788,0.00008647512,0.001263917,0.000371017,0.004400054],"category_scores_gemma":[0.0002700887,0.0003118589,0.0001187507,0.00005453538,0.0006126653,0.0003727935,0.000200681,0.0009132035,0.001482341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004067207,"about_ca_system_score_gemma":0.00006282453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001302983,"about_ca_topic_score_gemma":0.00003741516,"domain_scores_codex":[0.9984016,0.00003412595,0.0003328987,0.0003410323,0.0002877578,0.0006025198],"domain_scores_gemma":[0.9983976,0.00006985643,0.00009402763,0.001161398,0.00003473358,0.0002424007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002468438,0.0006063087,0.01145393,0.002679258,0.002810579,0.003769378,0.008203285,0.0003209358,0.01631277,0.1658663,0.4911051,0.2966253],"study_design_scores_gemma":[0.005823758,0.0003304993,0.03921055,0.000859934,0.0006455308,0.0002530071,0.001736171,0.05462937,0.01385289,0.03278074,0.847625,0.002252541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1861204,0.02264307,0.000542596,0.009042474,0.008448194,0.0003872578,0.00008198376,0.001222025,0.771512],"genre_scores_gemma":[0.9918959,0.00507327,0.0002321718,0.00015901,0.0007568875,0.00002377405,0.000008977394,0.0000412542,0.001808794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8057754,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}