{"id":"W2590547535","doi":"10.1017/s0022215116002607","title":"Combine MR and CT imaging in cholesteatoma","year":2016,"lang":"en","type":"article","venue":"The Journal of Laryngology & Otology","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Content (measure theory); Cholesteatoma; Computer science; Medicine; Radiology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590905,0.001036222,0.001058959,0.005550449,0.00105063,0.001407055,0.0007091234,0.003076014,0.005478126],"category_scores_gemma":[0.0078925,0.001116727,0.00102104,0.002227524,0.001840387,0.004243402,0.001799957,0.001995139,0.003524777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008168135,"about_ca_system_score_gemma":0.0009504497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328603,"about_ca_topic_score_gemma":0.004465969,"domain_scores_codex":[0.998665,0.0001890479,0.0004091426,0.0001206655,0.0002982236,0.0003179515],"domain_scores_gemma":[0.9974653,0.001197767,0.0003328719,0.0002929214,0.0004132809,0.0002979719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001901869,0.0002124937,0.07933705,0.0004935998,0.0001345224,0.8136724,0.0003152495,0.0009639997,0.02903589,0.0002892002,0.002453874,0.07118986],"study_design_scores_gemma":[0.0001539831,0.000382145,0.04092921,0.0003929593,0.0003087073,0.9320693,0.0008508904,0.003201552,0.01585247,0.001480947,0.004297853,0.00007992735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486899,0.05884998,0.01780332,0.01152626,0.00154354,0.0004436214,0.0005522111,0.001194579,0.05939659],"genre_scores_gemma":[0.9787908,0.01067143,0.005844266,0.001398163,0.0009990245,0.00003953212,0.0001050696,0.000125172,0.002026469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005550449,"threshold_uncertainty_score":0.0183261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233983040142766,"score_gpt":0.2636952857680973,"score_spread":0.2554613027279545,"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."}}