{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275497,0.0002617178,0.0002074451,0.0006573068,0.001695747,0.003246894,0.0004334027,0.0009264652,0.008938149],"category_scores_gemma":[0.002228159,0.0002092271,0.0002527565,0.0004244426,0.004936441,0.001970788,0.0008633375,0.001278936,0.002859386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698084,"about_ca_system_score_gemma":0.002692309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004295832,"about_ca_topic_score_gemma":0.002997348,"domain_scores_codex":[0.9992803,0.0001432294,0.0000467713,0.0001481973,0.000299647,0.0000819229],"domain_scores_gemma":[0.998825,0.000339747,0.000144372,0.0001093232,0.0004239044,0.0001576409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000126719,0.0001204138,0.004199622,0.0002991342,0.00004521621,0.0005849579,0.005783009,0.000760462,0.008692767,0.8028991,0.02137942,0.1551092],"study_design_scores_gemma":[0.00004297608,0.0002752851,0.009553426,0.0002785011,0.00009272456,0.001335233,0.006955441,0.001327308,0.02246615,0.3621905,0.5953777,0.0001048854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1034145,0.0122735,0.03881991,0.02266866,0.003261033,0.0002454917,0.0003236975,0.0002263582,0.8187668],"genre_scores_gemma":[0.770385,0.006051608,0.01701302,0.003530569,0.001139101,0.0001369039,0.0001269895,0.00006400616,0.2015528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008938149,"threshold_uncertainty_score":0.02990115,"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."}}