{"id":"W4394138114","doi":"10.6084/m9.figshare.6390227","title":"Additional file 5: of Trainer in a pocket - proof-of-concept of mobile, real-time, foot kinematics feedback for gait pattern normalization in individuals after stroke, incomplete spinal cord injury and elderly patients","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Physical medicine and rehabilitation; Normalization (sociology); Spinal cord injury; Trainer; Proof of concept; Computer science; Gait; Spinal cord; Medicine; Psychology; Neuroscience; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001671645,0.001424092,0.001277799,0.002295803,0.0006703613,0.001777169,0.002081982,0.001854061,0.4697689],"category_scores_gemma":[0.02127251,0.0005294068,0.0011918,0.002922646,0.00026852,0.001379768,0.001264016,0.001061091,0.1446242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141042,"about_ca_system_score_gemma":0.00221468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113331,"about_ca_topic_score_gemma":0.04317703,"domain_scores_codex":[0.9991359,0.0001659045,0.0001541885,0.0002556161,0.0001774362,0.0001109289],"domain_scores_gemma":[0.9910913,0.005681244,0.0005415877,0.0008514022,0.001462656,0.0003718896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716568,0.00004463779,0.00193439,0.001848262,0.00003267129,0.00002020424,0.00002327846,0.000225243,0.00003509827,0.0001942368,0.9912342,0.004236143],"study_design_scores_gemma":[0.003023095,0.0001771331,0.02468962,0.003017923,0.0001761967,0.0001574474,0.0002932413,0.00177153,0.0005347797,0.002894944,0.9631565,0.0001075338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006571468,0.00001560805,0.00005111021,0.00003913356,0.000009846016,0.00002279218,0.9994164,0.0001066282,0.000272791],"genre_scores_gemma":[0.001467797,0.00006621631,0.000588406,0.0001281832,0.00001799082,0.0006441498,0.9949733,0.0001288518,0.001985047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4697689,"threshold_uncertainty_score":0.7563103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959540948031394,"score_gpt":0.3324158120789645,"score_spread":0.3028204025986506,"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."}}