{"id":"W168017829","doi":"","title":"Towards uniform accelerometry analysis: a standardization methodology to minimize measurement bias due to systematic accelerometer wear-time variation.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Physical Activity and Health","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority","funders":"","keywords":"Standardization; Accelerometer; Multivariate analysis of variance; Variation (astronomy); Descriptive statistics; Coefficient of variation; Multivariate statistics; Statistics; Medicine; Computer science; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1667994,0.001857898,0.001771098,0.004792589,0.001409573,0.003228274,0.002495278,0.001332504,0.002189378],"category_scores_gemma":[0.218614,0.001123181,0.002497261,0.007514485,0.00221759,0.002570677,0.005448187,0.002802735,0.001916023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212974,"about_ca_system_score_gemma":0.004730015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901,"about_ca_topic_score_gemma":0.004422164,"domain_scores_codex":[0.8297572,0.109527,0.01955773,0.01490106,0.02511871,0.001138347],"domain_scores_gemma":[0.8486573,0.04912932,0.01918314,0.03795206,0.0443791,0.0006991283],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009752557,0.0006367564,0.1462431,0.006609709,0.003374576,0.0002891944,0.01416203,0.004905735,0.01658274,0.03886679,0.0247664,0.7425879],"study_design_scores_gemma":[0.0006587681,0.005555306,0.4590011,0.006683444,0.003333828,0.001646585,0.008352728,0.03575639,0.03619668,0.06128851,0.3807985,0.0007281721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01319667,0.0009905518,0.9761668,0.0003524569,0.000590725,0.004319664,0.00125078,0.0006957097,0.002436756],"genre_scores_gemma":[0.06396618,0.0007722058,0.9164066,0.0004892703,0.000278723,0.01377384,0.002413106,0.0005600314,0.001340012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8332006,"threshold_uncertainty_score":0.8821303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2120174015604924,"score_gpt":0.3281049180221648,"score_spread":0.1160875164616724,"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."}}