{"id":"W4283834270","doi":"10.1503/cjs.023020","title":"A cadaveric perfused model with antegrade arteriovenous pulsatile circulation: a new tool for teaching endovascular skills","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal; Hôpital Notre-Dame; Université du Québec à Montréal","funders":"Université de Montréal; Université du Québec à Trois-Rivières","keywords":"Medicine; Cadaveric spasm; Pulsatile flow; Radiology; Surgery; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001005266,0.0006908973,0.0003108176,0.0006762797,0.0002687536,0.0005410941,0.0005869637,0.0006974951,0.006849435],"category_scores_gemma":[0.0004721189,0.0004209635,0.0005214608,0.0003137074,0.000687213,0.0007249156,0.0004915173,0.001048432,0.001069424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360942,"about_ca_system_score_gemma":0.0005640306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002586835,"about_ca_topic_score_gemma":0.0004185291,"domain_scores_codex":[0.9997247,0.00005917943,0.00002595063,0.00007502666,0.00009149619,0.00002360577],"domain_scores_gemma":[0.9995404,0.00009749957,0.00006248977,0.0001775509,0.00006688719,0.000055293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004082623,0.0005191262,0.001965669,0.0003509353,0.00004677901,0.0009017003,0.0002530295,0.004905548,0.9532123,0.002089475,0.0009408817,0.03440626],"study_design_scores_gemma":[0.0003511485,0.01340669,0.02041519,0.0004505649,0.0006803941,0.01902953,0.0003499887,0.02849024,0.8460429,0.002842211,0.06777819,0.000162918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4869176,0.003030141,0.4977212,0.0004816069,0.0005649154,0.0005158276,0.0008399276,0.0007940702,0.00913477],"genre_scores_gemma":[0.7089232,0.004322337,0.2777182,0.0003330214,0.0001561447,0.0007787682,0.001300338,0.0001788481,0.00628897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006849435,"threshold_uncertainty_score":0.02291363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277470408297546,"score_gpt":0.2454071421495008,"score_spread":0.2126324380665254,"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."}}