{"id":"W2623878357","doi":"","title":"Design of Medical Simulators in Obstetrics","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Minimally Invasive Surgical Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Endoscope; Robot; Surgical robot; Invasive surgery; Computer science; Engineering; Artificial intelligence; Surgery; Simulation; Medicine","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":[0.0004546136,0.0006359551,0.0003930767,0.0004932828,0.0003840484,0.001007962,0.001008193,0.0008115469,0.01206366],"category_scores_gemma":[0.001463098,0.0004006327,0.0004581384,0.0002497973,0.0004505511,0.0006481885,0.0016019,0.0004436851,0.003715817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995986,"about_ca_system_score_gemma":0.0008635869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005151061,"about_ca_topic_score_gemma":0.0005029483,"domain_scores_codex":[0.9995486,0.0001394054,0.00002664284,0.00005677608,0.000173793,0.00005461957],"domain_scores_gemma":[0.9996971,0.00008975928,0.00003707287,0.00004630906,0.00008710667,0.00004270432],"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":[0.0002883715,0.000204248,0.003329625,0.0009418253,0.00005111072,0.0009964844,0.0007006695,0.2713625,0.07449039,0.2447785,0.01277307,0.3900831],"study_design_scores_gemma":[0.0001262611,0.0007600373,0.001817622,0.0003255695,0.00006865241,0.001291409,0.0004214769,0.5054477,0.04095541,0.04992211,0.3987855,0.00007825054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02161511,0.001977342,0.9004609,0.0006640097,0.0004991844,0.0005604581,0.0002871779,0.001697896,0.07223803],"genre_scores_gemma":[0.4680412,0.003286774,0.4702155,0.0004226276,0.0001038666,0.001012249,0.0006365088,0.0003355337,0.05594569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01206366,"threshold_uncertainty_score":0.04035693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542127588711366,"score_gpt":0.2891835296905372,"score_spread":0.2537622538034235,"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."}}