{"id":"W2907580272","doi":"10.1590/0100-6991e-20181992","title":"Modelo ex-vivo com coração bovino: proposta para treinamento de dissecção microscópica e de microanastomoses vasculares.","year":2018,"lang":"pt","type":"article","venue":"Revista do Colégio Brasileiro de Cirurgiões","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Dissection (medical); Computer science; Humanities; Medicine; Surgery; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001686144,0.00119636,0.001828632,0.0004240419,0.0008356519,0.001183549,0.0008907884,0.0007906637,0.003806419],"category_scores_gemma":[0.0009485317,0.001184133,0.0009691634,0.001119594,0.00104021,0.000310193,0.0003291234,0.001004368,0.0004123246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633554,"about_ca_system_score_gemma":0.001545312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000500399,"about_ca_topic_score_gemma":0.000100596,"domain_scores_codex":[0.992413,0.0009584104,0.001587867,0.00155524,0.001006778,0.002478747],"domain_scores_gemma":[0.99441,0.0009727842,0.000663308,0.001611766,0.0005752931,0.001766875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004353643,0.003027716,0.8867185,0.003492479,0.002183749,0.002364729,0.01269439,0.0003551915,0.02958267,0.005952374,0.01693491,0.03233968],"study_design_scores_gemma":[0.02860416,0.003797274,0.3365003,0.01187087,0.00466013,0.001441746,0.008513721,0.07792504,0.02036211,0.0004351962,0.5005529,0.005336546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675156,0.01238618,0.01202986,0.0009163716,0.0003871303,0.002259188,0.0003225924,0.0004519255,0.003731167],"genre_scores_gemma":[0.9880722,0.00109727,0.0009583519,0.002246428,0.0009886553,0.000106703,0.0001643917,0.0002763672,0.00608969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5502181,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816428492507212,"score_gpt":0.3280371847976418,"score_spread":0.2898728998725697,"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."}}