{"id":"W2414115862","doi":"10.1016/j.cjca.2015.07.222","title":"CARDIAC SURGICAL TRAINING THROUGH LOW-FIDELITY SIMULATION","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Task (project management); Simulation; Fibrous joint; Surgery; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238548,0.0003330663,0.0002098579,0.0004078633,0.0003410927,0.001301902,0.0009665926,0.0004862037,0.008794376],"category_scores_gemma":[0.005505545,0.0002155409,0.000277245,0.0001683847,0.0003244136,0.0005572232,0.001577792,0.0005249185,0.000964085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005925402,"about_ca_system_score_gemma":0.00192978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008357679,"about_ca_topic_score_gemma":0.01489968,"domain_scores_codex":[0.9992177,0.0003506923,0.0000434021,0.0000555985,0.0002577474,0.00007481324],"domain_scores_gemma":[0.9978003,0.001342271,0.0001115269,0.0001857853,0.0002927544,0.0002673051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001243153,0.007910929,0.0271213,0.0009147976,0.0001427184,0.0005152587,0.002995252,0.366785,0.02732613,0.01200987,0.01321321,0.5398223],"study_design_scores_gemma":[0.0005483339,0.003411046,0.02358549,0.0007902457,0.0001036847,0.0008451298,0.001235297,0.8975627,0.01370992,0.007811266,0.05016539,0.000231547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5657796,0.000376992,0.3767094,0.001120471,0.0002389958,0.001295612,0.000631139,0.002170091,0.05167769],"genre_scores_gemma":[0.8959113,0.0003293456,0.09602562,0.0001117769,0.00003170218,0.0004917735,0.000351071,0.00006717645,0.006680104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008794376,"threshold_uncertainty_score":0.02942008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148939846852179,"score_gpt":0.3409573227151442,"score_spread":0.2260633380299263,"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."}}