{"id":"W4416371830","doi":"10.2316/j.2026.206-1290","title":"OPTIMISATION OF SPORTS REHABILITATION TRAINING SYSTEM BASED ON COMPUTER VISION TECHNOLOGY AND ROBOT COLLABORATION MECHANISM. 335-347","year":2025,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Training (meteorology); Robot; Training system; Rehabilitation; Machine vision","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":[0.0002844268,0.0006323589,0.0005659153,0.0005127928,0.0004162188,0.0004807894,0.0005890002,0.0005048517,0.004045775],"category_scores_gemma":[0.0003458264,0.0002626497,0.0004487924,0.0002965174,0.0001665567,0.0003855329,0.0003659295,0.0002227723,0.0006662809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423884,"about_ca_system_score_gemma":0.0006714554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842031,"about_ca_topic_score_gemma":0.002601689,"domain_scores_codex":[0.9998155,0.00002861799,0.000009481415,0.00004695282,0.00005652033,0.00004296032],"domain_scores_gemma":[0.9998928,0.00002062026,0.00001711336,0.000008145051,0.00004504751,0.00001613142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000805023,0.000462337,0.004522155,0.0004687931,0.00017288,0.0002953385,0.000142231,0.5426297,0.166156,0.003146813,0.004293031,0.2769057],"study_design_scores_gemma":[0.00006884257,0.0004167417,0.004850547,0.0000110019,0.0000573577,0.00008259178,0.00004487971,0.9773005,0.01467127,0.0005983092,0.001876256,0.00002165965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.255607,0.001143245,0.7170932,0.0002333394,0.0001728281,0.0003073865,0.0001232038,0.00228758,0.02303229],"genre_scores_gemma":[0.9613072,0.0001803488,0.03354439,0.00003264167,0.00001256876,0.0001296888,0.0001006381,0.00003829826,0.004654129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004045775,"threshold_uncertainty_score":0.01353449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006897886096457237,"score_gpt":0.3017190223122433,"score_spread":0.294821136215786,"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."}}