{"id":"W4324304764","doi":"10.2196/41685","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","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Physical Activity and Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging; Government of Ontario; Ontario Brain Institute","keywords":"Accelerometer; Wrist; Physical medicine and rehabilitation; Medicine; Ankle; Physical therapy; Activities of daily living; Cadence; Gait; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002786072,0.0004044547,0.0007012248,0.001127223,0.0003910795,0.0007294724,0.000465712,0.0004468924,0.0003906662],"category_scores_gemma":[0.007097215,0.000412613,0.001003786,0.002139265,0.0002688832,0.0004771879,0.0006265861,0.0005796435,0.0001813503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271264,"about_ca_system_score_gemma":0.000553536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007181192,"about_ca_topic_score_gemma":0.009056753,"domain_scores_codex":[0.9974643,0.0006893821,0.0007813153,0.0004681012,0.0004855407,0.0001113302],"domain_scores_gemma":[0.9944031,0.0008101832,0.002773187,0.000825333,0.0009076658,0.0002804474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001048585,0.00002785803,0.9985541,0.00003772655,0.0001872867,0.00002253389,0.00007507872,0.00004008011,0.00009294586,0.000009052686,0.00008884694,0.0007596565],"study_design_scores_gemma":[0.00001776203,0.0001633342,0.9986793,0.000022456,0.0001286872,0.0001566672,0.0001469689,0.0002884867,0.00005594933,0.00001589562,0.0003187303,0.000005780316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933008,0.0008845499,0.00157917,0.00003853151,0.00001360315,0.0001643009,0.003611923,0.00001506078,0.0003920542],"genre_scores_gemma":[0.9936432,0.0004319186,0.001519724,0.00006788073,0.00002279508,0.0003089166,0.003873396,0.000008455401,0.0001238284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007181192,"threshold_uncertainty_score":0.01473433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2176712340673301,"score_gpt":0.4865231002898083,"score_spread":0.2688518662224782,"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."}}