{"id":"W2980649877","doi":"10.1123/jmpb.2018-0062","title":"Choice of Processing Method for Wrist-Worn Accelerometers Influences Interpretation of Free-Living Physical Activity Data in a Clinical Sample","year":2019,"lang":"en","type":"article","venue":"Journal for the Measurement of Physical Behaviour","topic":"Physical Activity and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ambrose University","funders":"","keywords":"Wrist; Accelerometer; Medicine; Physical activity; Physical medicine and rehabilitation; Sample (material); Physical therapy; Linear regression; Psychology; Statistics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003187692,0.0001755325,0.001051378,0.0001025536,0.00007489353,0.0000176382,0.0005873208,0.00006606333,0.00000319424],"category_scores_gemma":[0.002845097,0.0001169883,0.0004537586,0.0002433722,0.0001215825,0.000474715,0.0001514737,0.0005389572,3.077153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102026,"about_ca_system_score_gemma":0.0003196096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002389861,"about_ca_topic_score_gemma":0.00005031814,"domain_scores_codex":[0.9975842,0.0001996235,0.0006911928,0.0003065235,0.0009458854,0.0002725943],"domain_scores_gemma":[0.9938965,0.003852366,0.001036813,0.0005445381,0.0005599689,0.0001098347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006990029,0.02048708,0.1399193,0.003249316,0.0005528792,4.964057e-7,0.002805042,0.000484934,0.505895,0.0002110789,0.0000975101,0.3193073],"study_design_scores_gemma":[0.003977913,0.005529417,0.7546289,0.002503938,0.001189678,0.000002594849,0.0004615475,0.1874767,0.04154265,0.002423547,0.00004363099,0.0002194684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630072,0.0000338212,0.0353291,0.000318737,0.0001380384,0.001033014,0.0001225515,0.000006347713,0.00001122563],"genre_scores_gemma":[0.9940222,0.000005267694,0.005617123,0.00002758478,0.0002716275,0.00002684254,0.000005571034,0.00001993072,0.000003863715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6147096,"threshold_uncertainty_score":0.4770643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2912398204600228,"score_gpt":0.4922572916126715,"score_spread":0.2010174711526486,"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."}}