{"id":"W2741829676","doi":"","title":"画像診断（CT/PET食道造影）","year":2014,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004930831,0.000301063,0.000355039,0.0001342709,0.0001309914,0.00001967237,0.0005040379,0.0001655592,0.004747833],"category_scores_gemma":[0.0001933767,0.0003005098,0.0001033572,0.0002135052,0.0002750181,0.0001509452,0.00007879411,0.0008187516,0.001742867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003611798,"about_ca_system_score_gemma":0.00003636654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003738441,"about_ca_topic_score_gemma":0.00001160814,"domain_scores_codex":[0.9983655,0.00008297112,0.0003634333,0.0003268245,0.0002796397,0.0005815868],"domain_scores_gemma":[0.9990396,0.0001736508,0.00004047809,0.0004832497,0.00002596321,0.0002370881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008998119,0.0004054608,0.001835961,0.002094185,0.001241188,0.0007884096,0.003832343,0.001347962,0.009700585,0.184552,0.4730058,0.3211061],"study_design_scores_gemma":[0.001779868,0.0001603678,0.0007236733,0.0002189364,0.0001988963,0.0001698238,0.0005485116,0.067877,0.005847255,0.01518374,0.906523,0.0007689034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1574877,0.01851907,0.00383003,0.006925196,0.006661346,0.0003672356,0.00004540417,0.002250408,0.8039137],"genre_scores_gemma":[0.9954233,0.001926765,0.0004132762,0.0004332015,0.0007127256,0.00002276038,0.00001785811,0.000043154,0.001007005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8379356,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300327353440488,"score_gpt":0.2479662506341439,"score_spread":0.234962977099739,"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."}}