{"id":"W2323872036","doi":"10.1139/apnm-2013-0305","title":"Interaction between body weight status and walking speed in steps monitoring by GT3X accelerometer","year":2014,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Accelerometer; Physical medicine and rehabilitation; Preferred walking speed; Computer science; Simulation; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009340775,0.0003034489,0.0003239413,0.0003404837,0.0001688796,0.0003644787,0.0001417156,0.0004022756,0.0008329155],"category_scores_gemma":[0.003302424,0.0002364627,0.0003076052,0.0002835009,0.0002666186,0.0002409737,0.0003065229,0.0003075357,0.0001683215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385825,"about_ca_system_score_gemma":0.0001062124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574508,"about_ca_topic_score_gemma":0.002948628,"domain_scores_codex":[0.9994317,0.0002479046,0.00004294023,0.0001103571,0.00009479173,0.00007235926],"domain_scores_gemma":[0.9981039,0.001053656,0.0003578924,0.0001448136,0.0001474168,0.0001923077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006418471,0.0001429038,0.9830719,0.00001899138,0.0002452504,0.0001138737,0.0001917535,0.0001998284,0.005243009,0.00001663503,0.00005796927,0.004279305],"study_design_scores_gemma":[0.00001086892,0.0004855639,0.9987699,0.000001080965,0.00004556712,0.00005743213,0.00003649074,0.0003501957,0.0002023884,0.00001014527,0.00002783133,0.00000253841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997348,0.00005200463,0.00009650327,0.00000738189,0.000003077353,0.000001777692,0.0000328719,0.000002596665,0.00006890525],"genre_scores_gemma":[0.9997739,0.00001187299,0.00005844578,0.000004479901,0.000002394623,0.000002373641,0.00004111226,0.000002436128,0.000102923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002574508,"threshold_uncertainty_score":0.005119026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309177792685501,"score_gpt":0.331263314972324,"score_spread":0.308171537045469,"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."}}