{"id":"W2748376556","doi":"","title":"診断|病理診断(特に小肝細胞癌について)","year":2007,"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":[0.001427497,0.000248157,0.0003060896,0.0006018497,0.001649998,0.002268658,0.0003511456,0.0008202646,0.02288588],"category_scores_gemma":[0.002344857,0.0002084162,0.0003503273,0.0003267229,0.003655869,0.001349863,0.001165062,0.001630926,0.008886742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008796637,"about_ca_system_score_gemma":0.001704474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791439,"about_ca_topic_score_gemma":0.002539696,"domain_scores_codex":[0.9987671,0.0002211985,0.00008288396,0.0001721055,0.0005833522,0.000173347],"domain_scores_gemma":[0.9985374,0.0004691309,0.0001734977,0.0001808102,0.0005033217,0.000135789],"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":[0.0002366679,0.0003004593,0.003802863,0.0005037662,0.00007945777,0.001084715,0.002800537,0.000441189,0.03705768,0.6743508,0.04299928,0.2363425],"study_design_scores_gemma":[0.00005676303,0.0004126845,0.01374224,0.0002253215,0.00009225922,0.003093419,0.002515702,0.0006031786,0.05584975,0.1870556,0.7362601,0.00009290579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07435701,0.007031579,0.0302505,0.01345166,0.002196725,0.0002202023,0.0005873314,0.0003794452,0.8715256],"genre_scores_gemma":[0.6999457,0.006538169,0.02988265,0.004373289,0.001798457,0.0003293514,0.0004633676,0.0001581072,0.2565109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02288588,"threshold_uncertainty_score":0.07656091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}