{"id":"W2091193936","doi":"10.1097/sih.0000000000000054","title":"Advancing Surgical Simulation in Gynecologic Oncology","year":2014,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"Canadian Institutes of Health Research; Badan Riset dan Inovasi Nasional","keywords":"Medicine; Dissection (medical); Gynecologic oncology; Lymphadenectomy; Cadaveric spasm; Medical physics; Surgery; General surgery; Lymph node; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004333012,0.0004570063,0.0002276642,0.0006384967,0.0006439351,0.002250222,0.000931217,0.001015727,0.008271657],"category_scores_gemma":[0.01363619,0.0002179773,0.0004489083,0.0005019741,0.001874616,0.001199372,0.003465723,0.001180209,0.00135486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621889,"about_ca_system_score_gemma":0.003502295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007814357,"about_ca_topic_score_gemma":0.001302774,"domain_scores_codex":[0.9969451,0.002272144,0.0001142299,0.0001093,0.000437661,0.0001215421],"domain_scores_gemma":[0.9886709,0.008381679,0.0005795223,0.0005217121,0.0007004524,0.001145669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003686651,0.001427567,0.03151202,0.002988431,0.000056812,0.0005917446,0.01532966,0.02674868,0.007945624,0.05625429,0.03460625,0.8221703],"study_design_scores_gemma":[0.0002587605,0.00193173,0.03024301,0.004762238,0.00009559825,0.004049672,0.01094342,0.03352367,0.006741365,0.1353513,0.7719637,0.000135546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.364767,0.03238438,0.262766,0.04401043,0.002183594,0.002300085,0.0003537798,0.001863122,0.2893716],"genre_scores_gemma":[0.7258779,0.0226109,0.2353166,0.002496483,0.0004772193,0.001153167,0.0003685907,0.0001617399,0.01153745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008271657,"threshold_uncertainty_score":0.02767146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05491122921152287,"score_gpt":0.417406825209772,"score_spread":0.3624955959982491,"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."}}