{"id":"W2749004710","doi":"","title":"胃癌:低侵襲治療と集学的治療の個別化へ向けて 胃癌腹膜播種に対する集学的治療","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":[0.001235348,0.0002598518,0.000208686,0.000666265,0.001709169,0.003185771,0.0004245014,0.0008894412,0.008962723],"category_scores_gemma":[0.002107322,0.0002011794,0.0002583259,0.0004255863,0.004846615,0.001924849,0.0008686565,0.001221637,0.002862059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710059,"about_ca_system_score_gemma":0.002685249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230772,"about_ca_topic_score_gemma":0.002909683,"domain_scores_codex":[0.9992809,0.0001399703,0.0000466378,0.0001455578,0.0003038488,0.00008303604],"domain_scores_gemma":[0.9988703,0.0003172853,0.0001403129,0.0001073087,0.0004108307,0.0001539853],"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":[0.0001240126,0.0001206835,0.00408884,0.0002982603,0.00004458583,0.0005873939,0.005392294,0.0007686261,0.009430323,0.8024365,0.02110776,0.1556007],"study_design_scores_gemma":[0.00004205848,0.0002773492,0.009402676,0.0002674047,0.0000906491,0.001355602,0.006643161,0.001395678,0.02476842,0.348258,0.6073931,0.0001058422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1039779,0.01183346,0.03955715,0.02172335,0.003238087,0.0002438492,0.0003340954,0.0002425712,0.8188495],"genre_scores_gemma":[0.7741718,0.005834388,0.01712526,0.003294723,0.001122568,0.0001339851,0.0001292611,0.00006456774,0.1981233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008962723,"threshold_uncertainty_score":0.02998328,"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."}}