{"id":"W3133087450","doi":"10.1016/j.gaitpost.2021.02.007","title":"Characterizing inter-limb synchronization after incomplete spinal cord injury: A cross-sectional study","year":2021,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Neurotrauma Foundation","keywords":"Cross-sectional study; Spinal cord injury; Physical medicine and rehabilitation; Synchronization (alternating current); Medicine; Spinal cord; Computer science; Computer network; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001143135,0.0004119814,0.0005282631,0.0007133972,0.0007987897,0.0006410638,0.0004011753,0.0009329653,0.001230243],"category_scores_gemma":[0.002424748,0.0005542894,0.0005234361,0.0008236325,0.0003894305,0.0007636473,0.0006544411,0.0007428409,0.0003436597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972761,"about_ca_system_score_gemma":0.0005641516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009220515,"about_ca_topic_score_gemma":0.01647303,"domain_scores_codex":[0.9994891,0.0001349352,0.00006763719,0.0001151518,0.00007624929,0.0001168977],"domain_scores_gemma":[0.9985232,0.0002262644,0.0005465418,0.0001153173,0.0002769126,0.0003117373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256065,0.0003313982,0.9983391,0.000008006596,0.00007230877,0.00005814757,0.0001843884,0.00002247858,0.0002818874,0.00000658221,0.00002621671,0.0005438994],"study_design_scores_gemma":[0.000003960427,0.0003444981,0.9991008,0.00000275571,0.0000244516,0.00006719303,0.0003420031,0.00004980896,0.00002434963,0.000004240404,0.0000335704,0.000002292344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996735,0.00004418358,0.00006539357,0.000007909601,0.000002394613,0.00001267753,0.00007866764,8.525766e-7,0.0001144039],"genre_scores_gemma":[0.9993145,0.00005359085,0.0001177314,0.00002302273,0.000006117311,0.00002195146,0.0002723551,0.000001366295,0.0001892869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009220515,"threshold_uncertainty_score":0.01833367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168118381085087,"score_gpt":0.3869361047985651,"score_spread":0.3552549209877142,"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."}}