{"id":"W1995922765","doi":"10.1016/j.juro.2008.01.014","title":"Surgical Simulation: A Urological Perspective","year":2008,"lang":"en","type":"review","venue":"The Journal of Urology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Perspective (graphical); Medical physics; General surgery; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061771,0.00111484,0.001346395,0.003018642,0.0004578683,0.001658126,0.001061521,0.002541061,0.005235329],"category_scores_gemma":[0.002283511,0.0003582978,0.0006933243,0.0028714,0.001266308,0.002463537,0.001005802,0.002290566,0.002752249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008692237,"about_ca_system_score_gemma":0.001521506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276875,"about_ca_topic_score_gemma":0.001565106,"domain_scores_codex":[0.9992017,0.0002837483,0.00008582234,0.00007969687,0.0003067642,0.00004229587],"domain_scores_gemma":[0.9982136,0.0009692739,0.0001586319,0.00005082661,0.0004655763,0.0001420411],"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":[0.00006261578,0.00008618402,0.0005227712,0.01509397,0.00009629755,0.0005632196,0.0002193151,0.001188686,0.000922588,0.009324569,0.02709942,0.9448203],"study_design_scores_gemma":[0.00002166588,0.0002202528,0.002520821,0.01645898,0.0001067639,0.009603281,0.0004515214,0.000557586,0.0005221006,0.007899703,0.9615887,0.00004850245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001535141,0.9950461,0.0004476234,0.001131844,0.0006804835,0.000003772875,0.000004977702,0.00001229338,0.00251926],"genre_scores_gemma":[0.002399051,0.9951448,0.0005285345,0.0005096839,0.0007635207,0.000005992973,0.000009501638,0.000002323288,0.0006365683],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005235329,"threshold_uncertainty_score":0.01751387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165443000808957,"score_gpt":0.4155361051548824,"score_spread":0.2989918050739867,"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."}}