{"id":"W2744078200","doi":"","title":"胃癌:低侵襲治療と集学的治療の個別化へ向けて 早期胃癌に対する内視鏡治療適応の現状と展望","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":"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":[0.00123561,0.0002422508,0.0001953716,0.0006598872,0.00181218,0.003360253,0.0004339871,0.000948394,0.01051275],"category_scores_gemma":[0.002339387,0.0001958137,0.0002481407,0.0004499642,0.004793515,0.002107444,0.000898893,0.001260991,0.003020734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765469,"about_ca_system_score_gemma":0.002726329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339849,"about_ca_topic_score_gemma":0.003100103,"domain_scores_codex":[0.9992294,0.0001428756,0.0000494171,0.0001488143,0.0003400265,0.00008938873],"domain_scores_gemma":[0.9986892,0.0003607864,0.0001546962,0.000112279,0.0004990206,0.0001839882],"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":[0.0001167114,0.0001222813,0.004034705,0.0002638207,0.00004259096,0.0005419256,0.005407756,0.0006943755,0.006916754,0.8222836,0.02222429,0.1373512],"study_design_scores_gemma":[0.00004530851,0.0002637289,0.0100538,0.0002592898,0.00008763814,0.001188431,0.007380741,0.001284433,0.01854686,0.3826064,0.5781805,0.0001030078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.088756,0.008254976,0.02900205,0.02081907,0.002780421,0.0002175984,0.0002830509,0.0001799876,0.8497069],"genre_scores_gemma":[0.7597871,0.004718536,0.01530505,0.003480582,0.00105778,0.0001326967,0.0001240437,0.00005511692,0.2153389],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01051275,"threshold_uncertainty_score":0.03516859,"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."}}