{"id":"W7093097403","doi":"10.1016/j.jmig.2025.09.368","title":"13183 Novel Method of Simulation-Based Training of Minimally Invasive Surgical Skills, Utilizing Artificial Intelligence and Self-Assessment","year":2025,"lang":"en","type":"article","venue":"Journal of Minimally Invasive Gynecology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Training (meteorology); Applications of artificial intelligence; Minimally invasive procedures; MEDLINE","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":[0.0003453788,0.0002997615,0.0003338881,0.0004340093,0.0002706804,0.0003446322,0.000469657,0.0004432901,0.004313598],"category_scores_gemma":[0.0004498567,0.0001838273,0.0003799383,0.0003182938,0.0001548279,0.0002915273,0.0005594448,0.0002715771,0.0006520101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651459,"about_ca_system_score_gemma":0.0006545965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155858,"about_ca_topic_score_gemma":0.00153409,"domain_scores_codex":[0.9997091,0.00006410052,0.00001945218,0.00005203831,0.000135459,0.00001983098],"domain_scores_gemma":[0.9998236,0.00004899376,0.000008825459,0.00002555544,0.00006822386,0.0000248079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005869427,0.001153131,0.007120335,0.0003702422,0.000102316,0.0003044915,0.0003299747,0.02322783,0.227711,0.004651076,0.004126181,0.7303165],"study_design_scores_gemma":[0.0003291603,0.00256115,0.03321267,0.0001139973,0.0003154973,0.002692471,0.0002561738,0.7621447,0.15552,0.003257085,0.03935676,0.0002402561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1907061,0.0005431851,0.7856814,0.0002196369,0.000359837,0.0004987081,0.0001679331,0.001628568,0.02019469],"genre_scores_gemma":[0.6145661,0.0003764113,0.3688243,0.000125423,0.00007294811,0.0004542819,0.0002455129,0.00007591859,0.01525918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004313598,"threshold_uncertainty_score":0.0144304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779773216446407,"score_gpt":0.3709048247084322,"score_spread":0.3131070925439681,"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."}}