{"id":"W4403363769","doi":"10.2196/60655","title":"Completion Rate and Satisfaction With Online Computer-Assisted History Taking Questionnaires in Orthopedics: Multicenter Implementation Report","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Multicenter study; Medical physics; Medicine; Patient satisfaction; User satisfaction; Computer science; Medical education; World Wide Web; Human–computer interaction; Nursing; Surgery; Randomized controlled trial","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01933669,0.0004160834,0.0004974367,0.001160937,0.0004999626,0.0009059263,0.000561609,0.0006675629,0.001315558],"category_scores_gemma":[0.02324447,0.0004270923,0.0008534173,0.001034174,0.0005947817,0.0008065166,0.001170238,0.0005902442,0.0003930471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006896059,"about_ca_system_score_gemma":0.001026221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084036,"about_ca_topic_score_gemma":0.001689774,"domain_scores_codex":[0.987927,0.008384278,0.001091773,0.0006615081,0.001250532,0.00068498],"domain_scores_gemma":[0.9797344,0.006889683,0.007693107,0.0008839499,0.003111465,0.001687436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000507266,0.001054122,0.9886052,0.00005543832,0.00005219239,0.00005632117,0.001441788,0.00004740159,0.0003378387,0.000008720312,0.000216747,0.007616945],"study_design_scores_gemma":[0.00007421446,0.003366335,0.9943162,0.0000181163,0.00003206783,0.0001138055,0.001307195,0.0002421532,0.0002338793,0.000004939632,0.0002785306,0.00001256531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990788,0.0000576223,0.0001304251,0.00003996518,0.000005185492,0.0002332406,0.0002044923,0.000005729917,0.0002445278],"genre_scores_gemma":[0.9983437,0.00006442484,0.0005497544,0.00003949073,0.00001212022,0.0005450433,0.000297718,0.000003928599,0.0001437299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933669,"threshold_uncertainty_score":0.1022634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397662479156861,"score_gpt":0.4523263020754066,"score_spread":0.3125600541597205,"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."}}