{"id":"W386887680","doi":"","title":"イノベーション : 腫瘍症例検討会 : がん治療におけるリアルタイムという概念の導入","year":2014,"lang":"ja","type":"article","venue":"Cancer and Clinical Oncology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Animal science; Biology","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":[0.001491518,0.0002757238,0.0001659338,0.0005859184,0.001565174,0.002706295,0.0003580848,0.001028427,0.009209957],"category_scores_gemma":[0.002876743,0.0001890779,0.0001777118,0.0003685108,0.003425618,0.001957583,0.0008418274,0.001297782,0.002841896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358523,"about_ca_system_score_gemma":0.002521558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002113389,"about_ca_topic_score_gemma":0.00213153,"domain_scores_codex":[0.9992581,0.0001479847,0.00005508026,0.0001467855,0.0003059395,0.00008617978],"domain_scores_gemma":[0.9987276,0.0004069544,0.0001493041,0.00009057891,0.0004809837,0.0001445385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.00009522873,0.0001233469,0.003272356,0.0002637074,0.00002041005,0.0007357236,0.004565255,0.0008441656,0.008972965,0.7732908,0.02271453,0.1851015],"study_design_scores_gemma":[0.00003836648,0.0002506205,0.009113272,0.0002978628,0.00006440384,0.002673742,0.007534316,0.002059652,0.0259745,0.3890243,0.5628552,0.0001136677],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1569241,0.01045498,0.07796484,0.04306476,0.003277158,0.0003479375,0.000317579,0.0002627941,0.7073858],"genre_scores_gemma":[0.8105699,0.005237549,0.03442775,0.003851133,0.00106455,0.0002226983,0.0001158011,0.00007716555,0.1444335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009209957,"threshold_uncertainty_score":0.03081042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184646118016012,"score_gpt":0.3745438324797883,"score_spread":0.3326973712996282,"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."}}