{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009792307,0.0006005787,0.0002735693,0.001577242,0.0005885027,0.002918481,0.0005741004,0.001507159,0.01350794],"category_scores_gemma":[0.001960602,0.0003287018,0.0004220733,0.0009833833,0.001855035,0.002044934,0.0003780264,0.00129766,0.004054067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534024,"about_ca_system_score_gemma":0.00129592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536065,"about_ca_topic_score_gemma":0.003907409,"domain_scores_codex":[0.9996136,0.00007725172,0.00002511464,0.00005789557,0.0001742005,0.00005197066],"domain_scores_gemma":[0.9990399,0.0002892621,0.0001664826,0.00007169633,0.0003473602,0.00008522029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005943664,0.0003747226,0.04791443,0.001901411,0.00028135,0.006670524,0.0008787615,0.004081828,0.07811351,0.07167333,0.03500944,0.7525064],"study_design_scores_gemma":[0.0001506463,0.000876989,0.0821472,0.001576003,0.0009152686,0.05732128,0.003711362,0.009645094,0.161427,0.1046933,0.5772734,0.0002625907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1695136,0.09887899,0.06777477,0.04791581,0.002729025,0.0004669439,0.001511506,0.0006582516,0.6105512],"genre_scores_gemma":[0.8372628,0.04544867,0.03253057,0.008952294,0.002007199,0.0001107423,0.0003344534,0.0001518302,0.07320146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01350794,"threshold_uncertainty_score":0.04518855,"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."}}