{"id":"W2937930442","doi":"10.1016/j.jcmg.2019.02.007","title":"Putting the “I” in Infarction","year":2019,"lang":"en","type":"letter","venue":"JACC. Cardiovascular imaging","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Infarction; Medicine; Myocardial infarction; Cardiology","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":[0.004260625,0.001308978,0.002287879,0.001555628,0.01041373,0.009927501,0.001815629,0.1098261,0.01779647],"category_scores_gemma":[0.03163417,0.001357483,0.001769488,0.001406776,0.005682636,0.006696609,0.00429283,0.07571714,0.01382766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006412726,"about_ca_system_score_gemma":0.008547826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162676,"about_ca_topic_score_gemma":0.02374411,"domain_scores_codex":[0.9948558,0.001344928,0.000592578,0.0006787299,0.001285122,0.001242775],"domain_scores_gemma":[0.9903432,0.004311101,0.0007189702,0.0003987757,0.001438862,0.002789112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003601184,0.0000187391,0.0005163106,0.00002447695,0.00001419962,0.0009488851,0.0001261042,0.00001626765,0.00007967471,0.003868026,0.9904868,0.003864466],"study_design_scores_gemma":[0.0002688665,0.00009298426,0.002355713,0.0007925652,0.00008616812,0.002364588,0.001175885,0.0004461776,0.0002221569,0.02223326,0.9698146,0.0001470217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002230262,0.0007234419,0.00005842305,0.9745877,0.01897389,0.000009841792,0.0000469318,0.00001758453,0.005359097],"genre_scores_gemma":[0.001821245,0.0004804003,0.00009059748,0.949815,0.04075476,0.00002448425,0.00002588599,0.00002893949,0.006958669],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1098261,"threshold_uncertainty_score":0.05953509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034818901908557,"score_gpt":0.2777621017198655,"score_spread":0.2574139127007799,"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."}}