{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009297738,0.0001119712,0.0005318001,0.0001521222,0.000156078,0.000009981101,0.00007621406,0.00004547121,0.000586022],"category_scores_gemma":[0.0004973813,0.00008852921,0.0001350096,0.00009109703,0.00006344278,0.00004345988,0.00004877699,0.0003958599,5.572126e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003052355,"about_ca_system_score_gemma":0.000123631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003281803,"about_ca_topic_score_gemma":0.000001733739,"domain_scores_codex":[0.9986693,0.0001856157,0.0005116407,0.0001619821,0.0002310815,0.0002403466],"domain_scores_gemma":[0.9985328,0.0007507234,0.0003473153,0.0000942012,0.0001073723,0.0001676375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005538365,0.001231875,0.965056,0.00003032667,0.0006822932,0.001567925,0.00327663,0.005941995,0.0009514013,0.0009565496,0.0001891407,0.01457747],"study_design_scores_gemma":[0.1530432,0.08510997,0.5002034,0.000024776,0.00194732,0.0110542,0.0345812,0.01237415,0.000278767,0.003770955,0.1970242,0.0005878603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997207,0.0002697422,0.0003290589,0.0008383671,0.0004572645,0.0004674678,0.000008682331,0.00001594731,0.0004064141],"genre_scores_gemma":[0.9982293,0.000005327697,0.0003366116,0.001168245,0.0001473101,0.00001706652,0.000002741312,0.00001195547,0.00008146056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648526,"threshold_uncertainty_score":0.6416529,"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."}}