{"id":"W4383267394","doi":"10.2196/48801","title":"Using Presurgical Biopsychosocial Features to Develop an Advanced Clinical Decision-Making Support Tool for Predicting Recovery Trajectories in Patients Undergoing Total Knee Arthroplasty: Protocol for a Prospective Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biopsychosocial model; Medicine; Observational study; Psychosocial; Physical therapy; Rehabilitation; Social support; Psychological intervention; Mood; Clinical psychology; Nursing; Psychology; Psychiatry","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":[0.02482069,0.002317184,0.003895131,0.002149347,0.003893445,0.001921607,0.002018008,0.002876699,0.01239318],"category_scores_gemma":[0.01830246,0.001793862,0.004019213,0.002537365,0.001792055,0.002082115,0.002019018,0.002992429,0.002754882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004956273,"about_ca_system_score_gemma":0.01879145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00518673,"about_ca_topic_score_gemma":0.009485377,"domain_scores_codex":[0.9887283,0.006252334,0.002050872,0.001031889,0.001018488,0.0009181938],"domain_scores_gemma":[0.988962,0.001858708,0.002001401,0.001243876,0.004521594,0.001412545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3252611,0.2339725,0.1810443,0.03517577,0.004558198,0.003207071,0.01459344,0.01350573,0.008034364,0.006907075,0.03013189,0.1436086],"study_design_scores_gemma":[0.2850682,0.2429737,0.3367192,0.01125119,0.002441891,0.0007260718,0.01452696,0.0104624,0.003979625,0.005634325,0.08497724,0.001239206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01822584,0.0001469847,0.00159499,0.00009215771,0.0000612727,0.9780732,0.001266902,0.00001529176,0.0005232999],"genre_scores_gemma":[0.008712477,0.00009756143,0.002647993,0.00007859665,0.00001715292,0.9878144,0.0005096773,0.000001938524,0.0001200948],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02482069,"threshold_uncertainty_score":0.1312659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3031710632185667,"score_gpt":0.5799348697903971,"score_spread":0.2767638065718304,"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."}}