{"id":"W4403214125","doi":"10.1186/s13018-024-05134-8","title":"ChatGPT-4 and wearable device assisted Intelligent Exercise Therapy for co-existing Sarcopenia and Osteoarthritis (GAISO): a feasibility study and design for a randomized controlled PROBE non-inferiority trial","year":2024,"lang":"en","type":"article","venue":"Journal of Orthopaedic Surgery and Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West China Hospital, Sichuan University; Sichuan Province Science and Technology Support Program","keywords":"Medicine; Sarcopenia; Osteoarthritis; Randomized controlled trial; Physical therapy; Wearable computer; Orthopedic surgery; Physical medicine and rehabilitation; Exercise therapy; Alternative medicine; Surgery; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.06702933,0.0002403204,0.00206502,0.0005390123,0.001997108,0.0001566772,0.00008882203,0.0002347804,0.00003354524],"category_scores_gemma":[0.00666212,0.0001597181,0.0002623271,0.0003562696,0.0003451756,0.0002125592,0.00007036007,0.001073053,9.851987e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008577382,"about_ca_system_score_gemma":0.002561789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009170084,"about_ca_topic_score_gemma":0.00005696739,"domain_scores_codex":[0.9923695,0.003662119,0.002145569,0.0005033269,0.0005429677,0.0007765433],"domain_scores_gemma":[0.9551728,0.04224383,0.0005565964,0.0001979236,0.001068884,0.0007599594],"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":[0.6829853,0.0004110232,0.009762643,0.002416272,0.0001433191,0.00001867443,0.002005212,2.079694e-7,0.00008686478,0.0000541795,0.001029869,0.3010864],"study_design_scores_gemma":[0.9565349,0.005293367,0.007686778,0.004356409,0.000319923,0.00008066375,0.004791817,0.002130314,0.00003424437,0.001926637,0.01650894,0.0003360366],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8779076,0.05451857,0.004240982,0.002177546,0.0006565494,0.06038921,0.0000302874,0.00002746497,0.00005176773],"genre_scores_gemma":[0.9211793,0.05118498,0.001318504,0.000131221,0.0007047447,0.02511505,0.000006258039,0.0000431632,0.0003167948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007504,"threshold_uncertainty_score":0.9993021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2451031912688151,"score_gpt":0.5168209004193873,"score_spread":0.2717177091505723,"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."}}