{"id":"W2173366306","doi":"10.1186/s12947-015-0037-0","title":"Assessment of inpatient multimodal cardiac imaging appropriateness at large academic medical centers","year":2015,"lang":"en","type":"article","venue":"Cardiovascular Ultrasound","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Canada Research Chairs; Women's College Hospital; University of Toronto","funders":"","keywords":"Angiology; Appropriateness criteria; Medicine; Cardiac imaging; Medical physics; Appropriate Use Criteria; MEDLINE; Emergency medicine; Medical emergency; Radiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002572076,0.000324933,0.001179987,0.0001630882,0.00008854651,0.00002023316,0.0002054985,0.000223701,0.00004011341],"category_scores_gemma":[0.001973311,0.0002948196,0.001587413,0.0002499976,0.0002416853,0.0001058506,0.0002286076,0.000605794,0.00004170281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792319,"about_ca_system_score_gemma":0.0006003525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709134,"about_ca_topic_score_gemma":0.000001134326,"domain_scores_codex":[0.9955021,0.0003037324,0.0005699332,0.0005718413,0.002444582,0.0006078205],"domain_scores_gemma":[0.997278,0.0003337112,0.000124668,0.0009940569,0.0004756715,0.0007938395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005701833,0.0001866973,0.9903699,0.0001785669,0.001879506,0.0001773557,0.0003832512,0.0005773158,0.0008338931,0.0001164056,0.002848794,0.002391269],"study_design_scores_gemma":[0.01228027,0.0001346947,0.8997496,0.0005398999,0.003413208,0.0009826755,0.001390718,0.002274208,0.003630986,0.00004563733,0.07477613,0.0007819408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584911,0.0155845,0.01672857,0.0001902387,0.002462039,0.0008125453,0.0001387843,0.0001609068,0.005431248],"genre_scores_gemma":[0.9970417,0.0004914793,0.001141146,0.0002867413,0.0005607718,0.00005371807,0.000303622,0.00006730868,0.00005350399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0906203,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603629571190275,"score_gpt":0.2933321290906863,"score_spread":0.2772958333787836,"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."}}