{"id":"W3114674067","doi":"10.32997/rcb-2018-2712","title":"Infarto de miocardio con coronarias normales.","year":2019,"lang":"es","type":"article","venue":"Revista Ciencias Biomédicas","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Medicine; Myocardial infarction; Cardiology; Internal medicine; Nuclear medicine","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":[0.0004070503,0.0006035457,0.0003574176,0.0007117293,0.0004170227,0.0007653335,0.0003503003,0.0009167604,0.00659545],"category_scores_gemma":[0.001435769,0.0001539769,0.0001983199,0.0004880795,0.0006024549,0.0005877696,0.0003540561,0.0006621602,0.001778519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947297,"about_ca_system_score_gemma":0.0003049631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112731,"about_ca_topic_score_gemma":0.0008747819,"domain_scores_codex":[0.9997535,0.00005516625,0.00002948768,0.00005453946,0.00005018678,0.0000571862],"domain_scores_gemma":[0.9994836,0.000159478,0.0001578589,0.00003042635,0.00008434701,0.00008420364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003170019,0.0007207524,0.4240928,0.002848058,0.0001586198,0.122192,0.00223498,0.0003184553,0.05515552,0.00417057,0.0296954,0.3552429],"study_design_scores_gemma":[0.0001507305,0.002898637,0.464021,0.001893151,0.0002342386,0.2919299,0.001218276,0.0007504224,0.01477729,0.003809077,0.2182392,0.00007820573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7045817,0.1643266,0.004954345,0.008226085,0.002910277,0.0004018306,0.001596359,0.0005864213,0.1124164],"genre_scores_gemma":[0.9440022,0.02775698,0.002970448,0.003384972,0.002658344,0.0001795797,0.001237802,0.00005328278,0.01775652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00659545,"threshold_uncertainty_score":0.02206403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304630815091645,"score_gpt":0.2806916656602352,"score_spread":0.2676453575093187,"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."}}