{"id":"W4280628669","doi":"10.3390/cells11101606","title":"Loss of Neural Automaticity Contributes to Slower Walking in COPD Patients","year":2022,"lang":"en","type":"article","venue":"Cells","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"University of Toronto; Canada Foundation for Innovation; Department of Physical Therapy, Western Michigan University","keywords":"COPD; Medicine; Automaticity; Cardiology; Internal medicine; Atrophy; Physical medicine and rehabilitation; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002218742,0.0001114223,0.0003071462,0.0002050767,0.00006426428,0.000007359222,0.0001677577,0.00002922501,0.001200396],"category_scores_gemma":[0.0001264758,0.0001118645,0.00007757836,0.0004698429,0.00007420679,0.00004429249,0.0003320812,0.0002462664,0.00003514755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000596963,"about_ca_system_score_gemma":0.0001480531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009253373,"about_ca_topic_score_gemma":0.0000093075,"domain_scores_codex":[0.9984648,0.0001202677,0.0003050854,0.0002495201,0.0005118936,0.0003484579],"domain_scores_gemma":[0.9992506,0.0001307655,0.00006343636,0.0002819572,0.0001228562,0.0001503901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008710208,0.001879344,0.9588497,0.000735308,0.00008087379,0.0003659706,0.001108091,0.0007784429,0.01564356,0.0001811573,0.007952871,0.01155371],"study_design_scores_gemma":[0.003181187,0.000213117,0.9814292,0.0000722514,0.00002937484,0.000003505829,0.0003051924,0.004147782,0.00747514,0.0001568216,0.002859147,0.0001272816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969693,0.0002186562,0.00001577989,0.0003755611,0.0002685517,0.0008648137,0.0001202491,0.00002488532,0.00114223],"genre_scores_gemma":[0.99892,0.000002036151,0.0000771562,0.0003416861,0.000024808,0.00006125277,0.00004262129,0.00001907597,0.0005113787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02257956,"threshold_uncertainty_score":0.9997126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110588635469197,"score_gpt":0.2729834361474421,"score_spread":0.2619245726005224,"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."}}