{"id":"W2599185601","doi":"","title":"月経困難症の診断：問診，婦人科的診察，画像診断","year":2014,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151248,0.0002361187,0.0001973142,0.0007023595,0.001888286,0.003164714,0.0003893614,0.0009014438,0.01386374],"category_scores_gemma":[0.002121799,0.0002047764,0.0002477296,0.0004718326,0.00337459,0.001877525,0.000772592,0.001102953,0.004148274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805887,"about_ca_system_score_gemma":0.002697282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004331584,"about_ca_topic_score_gemma":0.003188194,"domain_scores_codex":[0.9992636,0.0001088294,0.00004184263,0.0001468449,0.0003572802,0.00008170658],"domain_scores_gemma":[0.9987662,0.0002563667,0.0001499843,0.0001146416,0.0005634335,0.0001493568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001394079,0.0001531601,0.006569697,0.0002757753,0.00004680658,0.0006395905,0.004157967,0.001207509,0.01941831,0.7715123,0.01293596,0.1829436],"study_design_scores_gemma":[0.00004278197,0.0003887595,0.01940717,0.0002277582,0.0001031915,0.001586969,0.008194718,0.0022247,0.05009287,0.3144569,0.6031539,0.0001203274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1149796,0.00497842,0.04065021,0.00964836,0.001280339,0.000190084,0.0002265235,0.0001817552,0.8278648],"genre_scores_gemma":[0.7524525,0.003564689,0.02223484,0.00197505,0.0005240348,0.00009608587,0.0001221206,0.00005310375,0.2189777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01386374,"threshold_uncertainty_score":0.04637885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336018377594647,"score_gpt":0.2487507868395274,"score_spread":0.2353906030635809,"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."}}