{"id":"W4213194545","doi":"10.1186/s12877-021-02725-6","title":"An investigation into the optimal wear time criteria necessary to reliably estimate physical activity and sedentary behaviour from ActiGraph wGT3X+ accelerometer data in older care home residents","year":2022,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Physical Activity and Health","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Programme Development Grants; Programme Grants for Applied Research; Faculty of Medicine and Health, University of Sydney; Warwick Medical School; University of Warwick; Faculty of Medicine and Health, University of Leeds; Department of Health and Social Care; University of Exeter; University of Leeds; National Institute for Health and Care Research; McMaster University","keywords":"Accelerometer; Medicine; Activity monitor; Physical activity; Older people; Rehabilitation; Physical therapy; Sedentary behavior; Physical medicine and rehabilitation; Gerontology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01400036,0.0003015234,0.0008964963,0.0003783137,0.0003579113,0.000800095,0.0006100673,0.0007453014,0.0005405876],"category_scores_gemma":[0.04782477,0.0002680212,0.0006115556,0.0005046141,0.0003517959,0.0004543753,0.0005929625,0.000388095,0.0001195309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774051,"about_ca_system_score_gemma":0.0009230404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020242,"about_ca_topic_score_gemma":0.005202157,"domain_scores_codex":[0.9870537,0.00934437,0.001475241,0.0005879131,0.001359283,0.0001794301],"domain_scores_gemma":[0.952571,0.03642325,0.00606467,0.001227029,0.003164838,0.0005492221],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03005555,0.002959299,0.7833045,0.002347138,0.0007847717,0.0002467824,0.002317246,0.00554826,0.05465925,0.0002642336,0.0009335193,0.1165795],"study_design_scores_gemma":[0.0004153635,0.01285121,0.9722072,0.0001325581,0.0002584756,0.0002631709,0.0004781807,0.005557727,0.007162571,0.0001009042,0.0005346349,0.00003804749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994696,0.0004655383,0.004145147,0.00007111523,0.00001274797,0.0002004015,0.0001525594,0.00001352787,0.0002428774],"genre_scores_gemma":[0.9854317,0.0000854951,0.01374992,0.00005174405,0.00001249407,0.0004430593,0.0001679205,0.00000547387,0.00005228578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9859996,"threshold_uncertainty_score":0.07404184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04381661054002766,"score_gpt":0.3510843754707928,"score_spread":0.3072677649307651,"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."}}