{"id":"W1998126352","doi":"10.1007/s00464-002-8759-0","title":"Reaction times and the decision-making process in endoscopic surgery","year":2003,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Task (project management); GRASP; Process (computing); Computer vision; Artificial intelligence; Computer science; Work (physics); Rotation (mathematics); Field (mathematics); Simulation; Mathematics; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008414282,0.0001307565,0.0003840228,0.0001235635,0.00008497004,0.00002707661,0.00003428816,0.00008570961,0.0006068806],"category_scores_gemma":[0.001449706,0.00007977794,0.00009180317,0.0003918039,0.0001430406,0.00008586123,0.00001168603,0.0002573192,0.00002423632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002928338,"about_ca_system_score_gemma":0.00007307246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001066359,"about_ca_topic_score_gemma":0.000004288362,"domain_scores_codex":[0.9987081,0.0001606646,0.0003454584,0.0002524506,0.0002840987,0.0002492513],"domain_scores_gemma":[0.9950516,0.004594625,0.00006617462,0.0001486474,0.00004032495,0.00009861763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01736793,0.0007551609,0.7059147,0.0002812477,0.0001847062,0.002006207,0.002012955,0.0003916564,0.00005033202,0.1014552,0.0001467075,0.1694333],"study_design_scores_gemma":[0.3509864,0.0004137724,0.2704308,0.005503494,0.0003883195,0.001878401,0.003553777,0.01424516,0.003121181,0.08670795,0.2611849,0.001585822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510414,0.0006755742,0.00003272449,0.0002812408,0.0001666911,0.0002494485,5.357846e-7,0.0000509064,0.0475015],"genre_scores_gemma":[0.999279,0.0001415111,0.0001460777,0.0002398259,0.00005567875,0.00002715911,0.000002907359,0.00001402141,0.00009382736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4354839,"threshold_uncertainty_score":0.6644917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938131421416803,"score_gpt":0.3261724296877672,"score_spread":0.3067911154735992,"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."}}