{"id":"W4327510203","doi":"10.2196/preprints.41685","title":"Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accelerometer; Wrist; Physical medicine and rehabilitation; Medicine; Physical therapy; Ankle; Cadence; Observational study; Activities of daily living; Activity monitor; Gait; Intensity (physics); Physical activity; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001547885,0.0002129984,0.0003440231,0.000713827,0.0002284751,0.0005196262,0.0002377284,0.0003298102,0.0008691156],"category_scores_gemma":[0.004449896,0.0002775754,0.0007080886,0.001353127,0.0001238726,0.0003337748,0.0003478458,0.0004002458,0.0003867563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430353,"about_ca_system_score_gemma":0.0003916113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008003101,"about_ca_topic_score_gemma":0.009513634,"domain_scores_codex":[0.999042,0.0002675607,0.0002969634,0.000163739,0.0001739038,0.00005593544],"domain_scores_gemma":[0.9971303,0.000485091,0.001286981,0.0004165592,0.0005257467,0.0001553252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001856647,0.0000285947,0.9979354,0.00003320018,0.000130543,0.00001418154,0.00005646772,0.00002686298,0.0001070834,0.000007793893,0.0004144492,0.001059703],"study_design_scores_gemma":[0.00001743903,0.00009940757,0.9992131,0.00001344276,0.00005161752,0.00004336661,0.00008563985,0.0001006838,0.00005151032,0.000006685033,0.0003140215,0.000003078784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988518,0.0004709415,0.0008410731,0.0000658361,0.0000288523,0.0001370577,0.009407323,0.00001561496,0.0005153221],"genre_scores_gemma":[0.9897833,0.0003454689,0.001171101,0.0001238161,0.00003812004,0.0003119698,0.007746381,0.000009965111,0.0004698489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008003101,"threshold_uncertainty_score":0.01591307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100187633004513,"score_gpt":0.3857219431186049,"score_spread":0.2757031798181536,"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."}}