{"id":"W2745017802","doi":"","title":"胃癌:低侵襲治療と集学的治療の個別化へ向けて 胃癌の内視鏡診断","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":[0.001288636,0.0002535743,0.0001960433,0.0006981172,0.001888023,0.003648335,0.0004578494,0.001107379,0.01264473],"category_scores_gemma":[0.002486707,0.0002056618,0.000254098,0.0004673902,0.004710712,0.002224928,0.0009409981,0.001373515,0.003859103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791761,"about_ca_system_score_gemma":0.002748592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004505975,"about_ca_topic_score_gemma":0.003231096,"domain_scores_codex":[0.9992437,0.0001364411,0.00005083371,0.000147826,0.0003370618,0.00008403632],"domain_scores_gemma":[0.9988482,0.0003016786,0.0001321774,0.0001094877,0.0004579652,0.0001504832],"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":[0.00009679935,0.0001022245,0.002706396,0.0002114857,0.00002971574,0.0004548698,0.004428143,0.0006184197,0.005370667,0.8372096,0.02038465,0.128387],"study_design_scores_gemma":[0.00003620043,0.0002245621,0.006985986,0.0002555774,0.00006690154,0.001018951,0.005988664,0.001094675,0.01436692,0.3394141,0.6304594,0.00008820381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07055303,0.008828293,0.03220034,0.02192196,0.003387488,0.0002278408,0.0002503927,0.0001699877,0.8624606],"genre_scores_gemma":[0.6956763,0.00570535,0.01766076,0.003877313,0.001154481,0.0001363573,0.0001208525,0.00006210576,0.2756064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01264473,"threshold_uncertainty_score":0.04230088,"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."}}