{"id":"W4415937958","doi":"10.36227/techrxiv.176238015.59132608/v1","title":"PhysioTrack: An Intelligent AI and IoT System for Smart Physical Rehabilitation","year":2025,"lang":"","type":"preprint","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Wearable computer; Inertial measurement unit; Virtual reality; Rehabilitation; Internet of Things; Wearable technology; Squat; Motion capture; Perceptron","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":[0.0002792421,0.0004936325,0.0004656483,0.0003765519,0.0002460069,0.0006463976,0.0008138468,0.000466105,0.007452749],"category_scores_gemma":[0.0005697957,0.0002009553,0.0002121079,0.000256751,0.0002174484,0.000584772,0.001070857,0.0004073665,0.001555079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210433,"about_ca_system_score_gemma":0.0003756993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009077663,"about_ca_topic_score_gemma":0.001195554,"domain_scores_codex":[0.9997695,0.0000304202,0.00002316,0.00006029435,0.00008792056,0.00002867525],"domain_scores_gemma":[0.9998667,0.00003572635,0.00001555369,0.00002522587,0.0000304206,0.00002645323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002865267,0.001020145,0.006587063,0.001036128,0.0002582275,0.001392465,0.0006090738,0.01738651,0.1685463,0.005576191,0.04561289,0.7491098],"study_design_scores_gemma":[0.001013095,0.003201016,0.03443538,0.0003349125,0.0005140189,0.003391921,0.000430053,0.6876782,0.1149551,0.01133938,0.1423292,0.0003777223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388857,0.001517907,0.7659726,0.0009540707,0.0006437484,0.001017036,0.001928579,0.06270178,0.02637863],"genre_scores_gemma":[0.8212339,0.0007361355,0.1512215,0.0008201994,0.0001304351,0.0006580433,0.001549093,0.0006244532,0.02302614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007452749,"threshold_uncertainty_score":0.02493197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710668046713772,"score_gpt":0.3385734217300282,"score_spread":0.3214667412628905,"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."}}