{"id":"W4402327047","doi":"10.1016/j.ijmedinf.2024.105624","title":"The patient’s perspective on rehabilitation with wireless accelerometers, activity tracking and motivational feedback following knee replacement: A qualitative study prior to a randomised controlled trial (KneeActivity)","year":2024,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arthritis Society; Klinisk Institut, Syddansk Universitet; Gigtforeningen; Region Syddanmark","keywords":"Accelerometer; Rehabilitation; Perspective (graphical); Physical therapy; Physical medicine and rehabilitation; Randomized controlled trial; Tracking (education); Qualitative research; Medicine; Physical activity; Psychology; Computer science; Surgery; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00320045,0.0002073264,0.0005848166,0.0004637031,0.0001294807,0.0002866516,0.0001885411,0.00007696631,0.00003049066],"category_scores_gemma":[0.007105848,0.0001154673,0.0002640261,0.0002502879,0.0001230737,0.0007263834,0.00007338701,0.0006288171,0.000005575759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420615,"about_ca_system_score_gemma":0.0005097795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155964,"about_ca_topic_score_gemma":0.00001740313,"domain_scores_codex":[0.9949723,0.0003275563,0.001095435,0.0001469583,0.003271091,0.000186598],"domain_scores_gemma":[0.9908303,0.007588451,0.0005268237,0.0001282342,0.000679022,0.0002471946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7123355,0.001426703,0.000504412,0.00005081951,0.004585741,0.0001818516,0.226519,0.00005552597,0.00005880763,0.001350857,0.0003193968,0.05261136],"study_design_scores_gemma":[0.7279746,0.02196861,0.003373362,0.001745284,0.0003958186,0.0002619852,0.2385497,0.004688768,0.00009439324,0.0002242359,0.0004773651,0.0002458914],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800879,0.00003728598,0.002708903,0.01306263,0.001189673,0.00262403,0.000005164468,0.00002453546,0.0002598395],"genre_scores_gemma":[0.998488,0.00001174829,0.0007337923,0.0003682396,0.0002170429,0.0001031065,0.000001774703,0.00001776066,0.00005854314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05236547,"threshold_uncertainty_score":0.8506877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932110786160016,"score_gpt":0.3566859906345025,"score_spread":0.3373648827729023,"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."}}