{"id":"W3059832801","doi":"10.2196/22208","title":"Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Physical medicine and rehabilitation; Stroke (engine); Gait analysis; Rehabilitation; Medicine; Physical therapy","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":[0.0006979869,0.0009213287,0.0008571743,0.001353576,0.0004413676,0.0003493084,0.0002085555,0.0006701209,0.00109072],"category_scores_gemma":[0.001898571,0.0003013599,0.0005788217,0.0006472416,0.0004706413,0.0004286281,0.0004110569,0.0003043694,0.0004028105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913625,"about_ca_system_score_gemma":0.000288738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009033904,"about_ca_topic_score_gemma":0.001169102,"domain_scores_codex":[0.9995376,0.0001475693,0.00005896669,0.0000804886,0.0001016708,0.0000737369],"domain_scores_gemma":[0.9993322,0.0001309535,0.0001435682,0.00008312604,0.0001445545,0.0001655721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003977057,0.005500542,0.9455263,0.000181895,0.0002382417,0.003529215,0.001143822,0.0002841681,0.0115986,0.00003789222,0.000322444,0.02765981],"study_design_scores_gemma":[0.0002845579,0.01604808,0.9783041,0.00001254545,0.0001029968,0.003019876,0.0004309633,0.0007041522,0.0007008056,0.00003761567,0.0003302692,0.00002403233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999483,0.00006348121,0.0001682876,0.0000101332,0.000003980939,0.00005312964,0.00004617493,0.000005825321,0.0001660213],"genre_scores_gemma":[0.9993773,0.00007035937,0.0002394454,0.00002271877,0.000015079,0.00004663741,0.000125323,0.000001724246,0.0001014058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001353576,"threshold_uncertainty_score":0.003691316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611379011912265,"score_gpt":0.355102412491835,"score_spread":0.2989886223727123,"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."}}