{"id":"W3194424725","doi":"","title":"メタボリックサージャリーへ進む外科，肥満症の外科治療を中心とした診療体制の取り組み，世界的展開と日本の取り組み","year":2012,"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":[0.0008303041,0.0005948726,0.0005951231,0.0002726596,0.000249028,0.00003219912,0.000743849,0.0006450584,0.01199027],"category_scores_gemma":[0.0001790753,0.0005995765,0.0002202276,0.000462831,0.0004245186,0.0009111164,0.0001731372,0.001439572,0.00290412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305193,"about_ca_system_score_gemma":0.00008379309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005010793,"about_ca_topic_score_gemma":0.000007814407,"domain_scores_codex":[0.9966024,0.0001339927,0.0006723028,0.0004009568,0.0005509611,0.001639412],"domain_scores_gemma":[0.9981833,0.0002205095,0.00008668123,0.0007317439,0.00005181747,0.0007259301],"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":[0.0002577263,0.001980544,0.0211682,0.00343265,0.003569617,0.000548256,0.02422518,0.0005930747,0.01925513,0.1922129,0.6121534,0.1206034],"study_design_scores_gemma":[0.003528035,0.0002478645,0.0106004,0.0004904848,0.0008366352,0.0004473494,0.004058383,0.008529095,0.008110655,0.006765352,0.9538538,0.002531871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2978502,0.1540875,0.001734308,0.004214296,0.0185589,0.0009135368,0.0001856227,0.00355689,0.5188987],"genre_scores_gemma":[0.9890327,0.005482104,0.0006796591,0.0003951796,0.002336498,0.0000622645,0.00004171114,0.00009979169,0.001870116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6911824,"threshold_uncertainty_score":0.9996456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015347565742347,"score_gpt":0.2656392753610138,"score_spread":0.2454857997035903,"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."}}