{"id":"W4413148989","doi":"10.1016/j.pecinn.2025.100421","title":"Usability testing of an individualized decision aid for total knee arthroplasty","year":2025,"lang":"en","type":"article","venue":"PEC Innovation","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary; University of Alberta","funders":"EuroQol Research Foundation","keywords":"Usability; Total knee arthroplasty; Arthroplasty; Computer science; Medicine; Medical physics; Human–computer interaction; Surgery","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":[0.01079221,0.0007054457,0.0005464379,0.0005905967,0.0004130126,0.00104056,0.0007051065,0.0006805822,0.002717463],"category_scores_gemma":[0.0414607,0.000287571,0.0008152184,0.0003353711,0.0004185768,0.0008695447,0.0009265632,0.0004754424,0.0004038837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005036713,"about_ca_system_score_gemma":0.0009863874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006240684,"about_ca_topic_score_gemma":0.001142508,"domain_scores_codex":[0.9928699,0.004527526,0.0009261547,0.0004107167,0.0009971859,0.00026855],"domain_scores_gemma":[0.968302,0.02626737,0.0008020429,0.0009444929,0.003029009,0.0006551502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01007891,0.02303106,0.1132954,0.005388922,0.0003953895,0.001964879,0.03354158,0.008498063,0.04405177,0.001174215,0.009491063,0.7490888],"study_design_scores_gemma":[0.006520049,0.1784898,0.4765757,0.003526151,0.001554405,0.005134001,0.03712083,0.1254853,0.09714265,0.003101781,0.06391318,0.001436218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871972,0.00008153317,0.008101131,0.0001254377,0.0000465023,0.002661683,0.0001748857,0.0002595276,0.00135212],"genre_scores_gemma":[0.9180291,0.0001802866,0.07713528,0.0002216239,0.00003262711,0.002775338,0.000330114,0.0000510269,0.001244638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079221,"threshold_uncertainty_score":0.05707532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232374820924133,"score_gpt":0.465365678455484,"score_spread":0.2421281963630706,"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."}}