{"id":"W2397361021","doi":"10.1097/rli.0000000000000164","title":"Cardiovascular Imaging","year":2015,"lang":"en","type":"review","venue":"Investigative Radiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Modality (human–computer interaction); Magnetic resonance imaging; Medicine; Modalities; Medical physics; Radiology; Computer science; Artificial intelligence","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":[0.0007767647,0.0009101414,0.001139533,0.002953554,0.0005601037,0.001717432,0.001321012,0.001778226,0.02951451],"category_scores_gemma":[0.002331861,0.000240078,0.0005972335,0.001799092,0.0007916861,0.001280855,0.0009586114,0.001857775,0.0244951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005648287,"about_ca_system_score_gemma":0.001397073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127569,"about_ca_topic_score_gemma":0.001253066,"domain_scores_codex":[0.9995111,0.00008446928,0.00005772926,0.0000848113,0.0002186218,0.0000431524],"domain_scores_gemma":[0.9990178,0.0002691753,0.00009888713,0.00008347901,0.000418952,0.0001116387],"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":[0.00005539355,0.0000448249,0.0003746001,0.005533294,0.00007303523,0.000600467,0.00009780112,0.0001715215,0.001788351,0.007454195,0.2014862,0.7823203],"study_design_scores_gemma":[0.00001051967,0.00002931555,0.0005078628,0.00152184,0.00003058903,0.002901858,0.00003647297,0.0000364331,0.0003656673,0.001804344,0.9927412,0.00001395502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003466102,0.9585997,0.002208006,0.001980807,0.003268961,0.00005915788,0.0003087117,0.0002024704,0.03302552],"genre_scores_gemma":[0.006327244,0.9566154,0.002833345,0.002563415,0.00473244,0.00006159549,0.0009802445,0.00004608206,0.0258402],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02951451,"threshold_uncertainty_score":0.09873593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08377840231723817,"score_gpt":0.3515870775961113,"score_spread":0.2678086752788731,"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."}}