{"id":"W2405310632","doi":"10.1002/ccd.26577","title":"The wise radialist's guide to optimal transfemoral access: Selection, performance, and troubleshooting","year":2016,"lang":"en","type":"letter","venue":"Catheterization and Cardiovascular Interventions","topic":"Vascular Procedures and Complications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Troubleshooting; Vascular access; Radial artery; Coronary angiography; Selection (genetic algorithm); Complication; Intervention (counseling); Femoral artery; Protocol (science); Surgery; Intensive care medicine; Artery; Cardiology; Hemodialysis; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004347575,0.0002939611,0.0004718072,0.0002040671,0.0006940718,0.0003661612,0.0002211179,0.0002474123,0.00005462625],"category_scores_gemma":[0.00006684291,0.0002074231,0.001256553,0.0002727419,0.0001336401,0.0001772085,0.0001132873,0.0004011041,0.00001405723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000636705,"about_ca_system_score_gemma":0.00008536433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001697243,"about_ca_topic_score_gemma":0.000006044799,"domain_scores_codex":[0.9981253,0.0001300375,0.0004975282,0.0005573726,0.0003456468,0.0003441474],"domain_scores_gemma":[0.9988551,0.00003177009,0.00008598706,0.0005876321,0.0002934987,0.0001459937],"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":[0.00006336156,0.00006256616,0.000783107,0.001645503,0.004619037,0.00002177539,0.0003622083,0.0001178435,0.0002125687,0.0002770832,0.9002652,0.09156979],"study_design_scores_gemma":[0.0008577705,0.0001817033,0.002510664,0.000761716,0.001366927,0.0007947095,0.00004648738,0.0003472003,0.00007554513,0.00002202792,0.9927493,0.0002859435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02426481,0.01427538,0.3668806,0.5849415,0.00101988,0.004353685,0.0002296915,0.0004485797,0.003585906],"genre_scores_gemma":[0.4987377,0.03880206,0.005554007,0.3502189,0.02180832,0.006800758,0.003787152,0.001061588,0.07322957],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4744729,"threshold_uncertainty_score":0.8458469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709151623198088,"score_gpt":0.2991306865856815,"score_spread":0.2720391703537006,"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."}}