{"id":"W3160543171","doi":"","title":"日本語版Toronto Extremity Salvage Score(TESS)上肢の信頼性・妥当性の検証","year":2016,"lang":"ja","type":"article","venue":"日本整形外科学会雑誌","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008663706,0.0004185818,0.0004264078,0.001002324,0.0004772709,0.0006184563,0.000248877,0.0002898083,0.004020196],"category_scores_gemma":[0.003935742,0.00009814169,0.0004283681,0.0007560325,0.00045392,0.0005104258,0.0002824078,0.0007017052,0.0009599027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781127,"about_ca_system_score_gemma":0.001334769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095683,"about_ca_topic_score_gemma":0.01563506,"domain_scores_codex":[0.9994815,0.00005685463,0.00007159297,0.00006460606,0.0002640283,0.0000614353],"domain_scores_gemma":[0.9982115,0.00032858,0.0003848831,0.00007708005,0.0007504606,0.0002475479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001533592,0.0001854579,0.7918586,0.0002073422,0.0004521451,0.0008926883,0.0004686595,0.002399491,0.004215081,0.001269922,0.01765838,0.1788586],"study_design_scores_gemma":[0.00008158638,0.0007297251,0.9642976,0.0001663918,0.0004476437,0.002637389,0.0004458562,0.00333806,0.003832324,0.00189214,0.02203066,0.0001005286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390616,0.008640316,0.01737932,0.003995564,0.00112806,0.0004184265,0.00883429,0.0004940516,0.1200484],"genre_scores_gemma":[0.9807076,0.001677308,0.004906842,0.0003196399,0.0003304261,0.0001238833,0.002254491,0.00004316201,0.009636746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095683,"threshold_uncertainty_score":0.02178609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235628154922406,"score_gpt":0.2804814683452585,"score_spread":0.2569186528530179,"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."}}