{"id":"W1586204433","doi":"10.1016/j.jcmg.2012.10.006","title":"Journey in Evolution of Nuclear Cardiology","year":2012,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec","funders":"","keywords":"Coronary artery disease; Positron emission tomography; Medicine; Single-photon emission computed tomography; Nuclear medicine; Emission computed tomography; Myocardial perfusion imaging; Cardiac PET; Perfusion; Coronary circulation; Spect imaging; Cardiology; Hypertrophic cardiomyopathy; Nuclear imaging; Radiology; Internal medicine; Blood flow","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244192,0.0001659995,0.0007898519,0.0003115587,0.00004210974,0.00001166916,0.00007691184,0.0000737708,0.00001676119],"category_scores_gemma":[0.0005859074,0.000165722,0.001079821,0.0003226593,0.0001022091,0.0001964827,0.00008056573,0.000292469,0.00005388137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805825,"about_ca_system_score_gemma":0.00007440987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003023102,"about_ca_topic_score_gemma":6.797013e-7,"domain_scores_codex":[0.9983789,0.0001734366,0.000330685,0.0002292085,0.0003921947,0.000495545],"domain_scores_gemma":[0.9989187,0.00008395517,0.00006044207,0.0006371882,0.0001345132,0.0001652232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003177735,0.00006002881,0.9861773,0.00009129808,0.0005750975,0.0001222003,0.0003700628,0.0005562155,0.001072094,0.0003455911,0.002212869,0.008385423],"study_design_scores_gemma":[0.00183075,0.00001579922,0.9523265,0.0001475882,0.0007832486,0.001305132,0.0008442833,0.0002890085,0.0002982591,0.00005187933,0.04190648,0.0002010659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414645,0.1085763,0.008499253,0.0005803384,0.001731595,0.0005643893,0.00001235029,0.0001707544,0.03840045],"genre_scores_gemma":[0.9978527,0.0001803389,0.00101498,0.0001244771,0.0007526031,0.000008316621,0.000008353478,0.00004314549,0.00001504229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563882,"threshold_uncertainty_score":0.6757948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279868818419222,"score_gpt":0.2514499312241408,"score_spread":0.2386512430399486,"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."}}