{"id":"W4386262511","doi":"10.60118/001c.36131","title":"Surgical Device Representatives Preference for Experiential Learning via Immersive Virtual Reality","year":2022,"lang":"en","type":"article","venue":"Journal of Orthopaedic Experience & Innovation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Virtual reality; Computer science; Medicine; Multimedia; 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":[0.00199151,0.000196195,0.0001697908,0.0004729207,0.0002737553,0.0008092835,0.000290372,0.0003898903,0.01169902],"category_scores_gemma":[0.00914027,0.0001250639,0.0004083474,0.0002624094,0.0002511997,0.0004483474,0.0006915142,0.0004942465,0.001194185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554778,"about_ca_system_score_gemma":0.0003353178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068419,"about_ca_topic_score_gemma":0.0008760977,"domain_scores_codex":[0.9977609,0.0008486492,0.0002334747,0.0001961425,0.00067753,0.0002833008],"domain_scores_gemma":[0.9906048,0.004335563,0.002368309,0.0004072381,0.0009572643,0.001326897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009660799,0.001345956,0.746943,0.0007384094,0.0001218458,0.001027358,0.01032472,0.0004168203,0.02129325,0.0003317973,0.004505559,0.2119852],"study_design_scores_gemma":[0.00006439794,0.004213067,0.9527873,0.0001777959,0.00006185411,0.00448866,0.02143796,0.0008058358,0.002081622,0.0001673786,0.01365622,0.00005788477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960162,0.0001638244,0.0005661066,0.0002639214,0.00002399936,0.00002904665,0.00004310774,0.00002278252,0.002871025],"genre_scores_gemma":[0.9975516,0.00020067,0.0007543516,0.0002384606,0.00002362044,0.00002556394,0.00006811356,0.00000776566,0.001129885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01169902,"threshold_uncertainty_score":0.03913713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08569253273052244,"score_gpt":0.3801356301946885,"score_spread":0.2944430974641661,"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."}}