{"id":"W7125611280","doi":"10.18280/jesa.581202","title":"Gait Pattern Analysis for Early Detection of Neuromuscular Disorders Using Wearable Sensors and Artificial Intelligence Techniques","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wearable computer; Pattern analysis; Pattern recognition (psychology); Wearable technology; Behavioral analysis; Gait analysis","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":[0.0003051979,0.0006247176,0.000522414,0.001660687,0.0001136339,0.0005579319,0.0002275249,0.0004669391,0.001300914],"category_scores_gemma":[0.0008488783,0.0001710837,0.0003687212,0.001108767,0.0001043139,0.0004795712,0.0002672779,0.0003260582,0.0005295903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007348209,"about_ca_system_score_gemma":0.0002074234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007010227,"about_ca_topic_score_gemma":0.001265725,"domain_scores_codex":[0.9997719,0.00005177427,0.00003233095,0.00004948426,0.00007640364,0.00001812221],"domain_scores_gemma":[0.9996971,0.0001267317,0.00006022459,0.00001598669,0.00007978879,0.00002019939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008206857,0.0005292884,0.08413965,0.0009418757,0.0003388551,0.0005149123,0.0001313284,0.002549599,0.166279,0.0005889999,0.002453792,0.740712],"study_design_scores_gemma":[0.0001827297,0.002814097,0.7067997,0.0004969924,0.0008695669,0.006113356,0.0005654474,0.1967401,0.07225062,0.003675402,0.009354388,0.000137676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6629595,0.01388311,0.3127388,0.0005416348,0.0004457058,0.0003836439,0.002134483,0.0009794629,0.005933714],"genre_scores_gemma":[0.8947611,0.005700468,0.09547667,0.0001513941,0.0001652581,0.0001700628,0.0006820144,0.00004560618,0.002847353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001660687,"threshold_uncertainty_score":0.004351974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848537929333469,"score_gpt":0.2577317881825957,"score_spread":0.239246408889261,"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."}}