{"id":"W4416265844","doi":"10.1016/j.cjca.2025.11.011","title":"Coronary Artery Fistulas: Algorithmic Approach to Diagnosis and Management","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Western University","funders":"","keywords":"Coronary artery disease; Coronary angiography; Artery; MEDLINE; Risk assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002114544,0.0001115266,0.0004079966,0.0005015306,0.00007375097,0.0000135391,0.0001098947,0.00006881814,0.00001190997],"category_scores_gemma":[0.00003466376,0.0001041574,0.0001019314,0.0001458285,0.0001150767,0.00005129971,0.00002786757,0.000158817,0.00000516816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568443,"about_ca_system_score_gemma":0.000292306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004434912,"about_ca_topic_score_gemma":0.0001239272,"domain_scores_codex":[0.9991892,0.00007326658,0.000262838,0.0001555226,0.00006761224,0.0002515335],"domain_scores_gemma":[0.9992031,0.00005356549,0.00004353316,0.0001778697,0.00007661113,0.0004453395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002223387,0.00001623018,0.6719055,0.0002647376,0.001651038,0.004375812,0.000412556,0.0005627985,0.00002967202,0.002232984,0.2204843,0.09784202],"study_design_scores_gemma":[0.000696642,0.0002736962,0.6736245,0.0001125081,0.0002473917,0.003707419,0.0003339352,0.0000233022,0.00001134009,0.0001823424,0.3207028,0.00008417523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450797,0.005573423,0.01237554,0.01243983,0.001428323,0.0008986777,0.00003401408,0.00001652796,0.1221539],"genre_scores_gemma":[0.9949811,0.0002924323,0.001573298,0.001862207,0.0002948733,0.00002807908,0.000004843876,0.000008703094,0.0009545297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1499013,"threshold_uncertainty_score":0.4247416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443888630831131,"score_gpt":0.2359905472920205,"score_spread":0.2215516609837092,"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."}}