{"id":"W2004563147","doi":"10.1186/1532-429x-13-s1-o32","title":"Impact of cardiovascular magnetic resonance assessment of ejection fraction on eligibility for implantable cardioverter defibrillators","year":2011,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Toronto General Hospital; St. Michael's Hospital","funders":"","keywords":"Medicine; Ejection fraction; Angiology; Cardiology; Internal medicine; Cardiac magnetic resonance; Steady-state free precession imaging; Biplane; Population; Magnetic resonance imaging; Nuclear medicine; Radiology; Heart failure","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":[0.002239787,0.0002765365,0.0005625989,0.0002881649,0.0002917306,0.0005574785,0.0003787143,0.00087864,0.002693522],"category_scores_gemma":[0.01613041,0.0001062263,0.0009893404,0.0003459761,0.0002984054,0.0006873927,0.0003697746,0.0009331533,0.000370572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530222,"about_ca_system_score_gemma":0.0004391121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862302,"about_ca_topic_score_gemma":0.004096078,"domain_scores_codex":[0.998387,0.0008458041,0.0001428214,0.000187249,0.0002391538,0.0001980663],"domain_scores_gemma":[0.9912599,0.005064308,0.001720655,0.0002688606,0.0005224925,0.001163841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01836051,0.001618061,0.9421771,0.000124661,0.001168987,0.0002347744,0.0001032593,0.0003242324,0.001038091,0.00008123242,0.001343966,0.0334252],"study_design_scores_gemma":[0.0004124491,0.005118794,0.9922376,0.00003419343,0.0006210143,0.0001376869,0.00009608945,0.0003878688,0.0002245172,0.00008731031,0.000631652,0.00001084548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944761,0.001844297,0.0001085051,0.001088105,0.0001395714,0.00002880971,0.0002242296,0.000004890022,0.002085476],"genre_scores_gemma":[0.9987924,0.0001988875,0.0001014676,0.0003056458,0.0001265508,0.00001403786,0.0001668334,0.00000233766,0.0002917823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002693522,"threshold_uncertainty_score":0.01184529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928933062937385,"score_gpt":0.3137063476922753,"score_spread":0.2844170170629015,"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."}}