{"id":"W2603447092","doi":"10.1080/2331205x.2017.1313505","title":"Are we missing the sitting? Agreement between accelerometer non-wear time validation methods used with older adults’ data","year":2017,"lang":"en","type":"article","venue":"Cogent Medicine","topic":"Physical Activity and Health","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Limits of agreement; Sitting; Accelerometer; Confidence interval; Activity monitor; Sedentary behavior; Medicine; Physical activity; Names of the days of the week; Mathematics; Physical therapy; Statistics; Physical medicine and rehabilitation; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001371083,0.0002229136,0.0006825608,0.00006631604,0.0005558936,0.00004755462,0.0005914844,0.00007920761,0.0003340683],"category_scores_gemma":[0.000548812,0.0001188648,0.00004624627,0.0001145015,0.0002769385,0.0002129194,0.0002882761,0.0003804592,0.00006378062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006635914,"about_ca_system_score_gemma":0.0001128523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001108829,"about_ca_topic_score_gemma":0.000009884589,"domain_scores_codex":[0.9980655,0.000156446,0.0003332734,0.0004913845,0.0006075331,0.0003458845],"domain_scores_gemma":[0.9966658,0.0004142915,0.0006044447,0.001912487,0.0001147937,0.0002881222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001493601,0.001946193,0.1729694,0.00250468,0.001573987,0.0001906079,0.01572428,0.000001908511,0.06097678,0.00002725181,0.03271205,0.7098793],"study_design_scores_gemma":[0.01294414,0.002130206,0.8953663,0.01050939,0.002215968,0.00004022194,0.001222055,0.003884963,0.03388911,0.0002653002,0.03697678,0.0005555784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390906,0.0001657023,0.01370149,0.1446551,0.0001762516,0.001159074,0.0000308766,0.00005243874,0.000968482],"genre_scores_gemma":[0.9915491,0.00006125311,0.004041248,0.001736384,0.001749474,0.00001632974,0.0002193328,0.00003191483,0.0005949486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7223969,"threshold_uncertainty_score":0.4847166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2683742712401365,"score_gpt":0.4564263807675184,"score_spread":0.1880521095273819,"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."}}