{"id":"W2936741325","doi":"10.1016/j.carrev.2019.04.012","title":"Radial Approach for Left Gastric Artery Angiography and Embolization for the Treatment of Obesity: Technical Considerations","year":2019,"lang":"en","type":"article","venue":"Cardiovascular revascularization medicine","topic":"Vascular Procedures and Complications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Conventional PCI; Fluoroscopy; Left gastric artery; Percutaneous coronary intervention; Coronary artery disease; Radial artery; Radiology; Angiography; Cardiac catheterization; Percutaneous; Embolization; Femoral artery; Surgery; Artery; Cardiology; Myocardial infarction","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":[0.002719818,0.001370589,0.001166716,0.002000505,0.00179139,0.003922665,0.001578632,0.007468292,0.002679257],"category_scores_gemma":[0.00401843,0.0006385883,0.001631363,0.0008809227,0.002143803,0.003987547,0.0007890343,0.00806137,0.001594765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325287,"about_ca_system_score_gemma":0.00248606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568525,"about_ca_topic_score_gemma":0.004820483,"domain_scores_codex":[0.9985776,0.0003293058,0.0002854945,0.0002059715,0.0003943173,0.0002073682],"domain_scores_gemma":[0.9971142,0.001339292,0.0005435231,0.0002464585,0.0002168029,0.0005396527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001362736,0.001141483,0.07227021,0.001786714,0.0005819738,0.5044181,0.001727825,0.004597665,0.03323891,0.02595204,0.02073499,0.3321874],"study_design_scores_gemma":[0.0001280019,0.0008328452,0.02221295,0.0006436692,0.0002423983,0.9256238,0.001239165,0.004142753,0.003675742,0.01410443,0.02697544,0.0001788776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4829383,0.1300418,0.1447015,0.1748344,0.003712478,0.0004421367,0.0004054267,0.00146883,0.06145502],"genre_scores_gemma":[0.6834334,0.05239985,0.2102363,0.02230444,0.02417548,0.0003406516,0.0002729466,0.0005262498,0.006310732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007468292,"threshold_uncertainty_score":0.01438397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011746782874271,"score_gpt":0.251273475989431,"score_spread":0.2311560081606883,"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."}}