{"id":"W2742822591","doi":"","title":"胃癌:低侵襲治療と集学的治療の個別化へ向けて 胃癌に対する腹腔鏡手術とロボット支援手術","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":"Political 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":[0.0005453748,0.0004674693,0.0005316983,0.0001515078,0.0009924582,0.0001498637,0.001805514,0.0005309715,0.005343927],"category_scores_gemma":[0.0003919296,0.0004734541,0.0001851538,0.00008669101,0.0009305312,0.0005363121,0.0003022587,0.001270265,0.001818081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006830881,"about_ca_system_score_gemma":0.0001025707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461226,"about_ca_topic_score_gemma":0.00004761012,"domain_scores_codex":[0.9976414,0.00005511863,0.0004939273,0.0005041123,0.0004335398,0.0008719469],"domain_scores_gemma":[0.9976658,0.00009942301,0.0001517476,0.001658287,0.00005712793,0.0003676327],"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":[0.0002897147,0.0007199962,0.008219401,0.002616782,0.003031072,0.00427905,0.007492258,0.0004201969,0.01564183,0.106724,0.5535743,0.2969914],"study_design_scores_gemma":[0.007694993,0.0004622111,0.02323895,0.001122991,0.0009304605,0.000372599,0.002343293,0.04400912,0.0197348,0.03911436,0.857797,0.00317926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1531916,0.02531586,0.0005495829,0.01248444,0.01043534,0.0005795279,0.0001600677,0.001585984,0.7956976],"genre_scores_gemma":[0.9894564,0.006322979,0.0004466199,0.0002233482,0.0009995739,0.00003810683,0.00001888938,0.00006744442,0.002426711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8362647,"threshold_uncertainty_score":0.9997717,"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."}}