{"id":"W4280552012","doi":"10.1089/end.2022.0180","title":"Portable Endoscopic Simulator for Urologic Training: A Face/Content and Construct Validity Study","year":2022,"lang":"en","type":"article","venue":"Journal of Endourology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Software portability; Computer science; Face validity; Virtual reality; Medicine; Interface (matter); Construct validity; Simulation; Fidelity; Human–computer interaction; Medical physics; Surgery; Patient satisfaction","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":[0.007997488,0.0005125155,0.0004014269,0.001225634,0.0005380756,0.0005469225,0.0005998016,0.0004129089,0.001503347],"category_scores_gemma":[0.02120701,0.000298388,0.0009373508,0.0006058533,0.000587522,0.0008035934,0.00119874,0.0006349604,0.000337222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704152,"about_ca_system_score_gemma":0.001087753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000604141,"about_ca_topic_score_gemma":0.001022057,"domain_scores_codex":[0.9966838,0.001334012,0.000249469,0.0002580486,0.001315753,0.0001588952],"domain_scores_gemma":[0.9829015,0.009226721,0.001756216,0.001488589,0.003705536,0.0009215561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001429272,0.009529936,0.8097276,0.0003392393,0.0002968672,0.0004295776,0.01149965,0.001787102,0.02008205,0.00082389,0.001383468,0.1426715],"study_design_scores_gemma":[0.0004532496,0.02558666,0.9331269,0.0001574692,0.000199433,0.001239336,0.007949466,0.01632107,0.008783923,0.0006432326,0.005439217,0.0001001034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963898,0.00003058704,0.002037571,0.0000387053,0.00001456061,0.0005563925,0.00006963932,0.0000166095,0.0008460173],"genre_scores_gemma":[0.9924623,0.00008231001,0.00588816,0.0000673365,0.00002011761,0.0007844268,0.0001865207,0.00001543462,0.0004933051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007997488,"threshold_uncertainty_score":0.04229522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2238691455561649,"score_gpt":0.3555283922727691,"score_spread":0.1316592467166043,"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."}}