{"id":"W2143672927","doi":"10.1123/jpah.9.s1.s76","title":"Recommendations to Improve the Accuracy of Estimates of Physical Activity Derived From Self Report","year":2012,"lang":"en","type":"review","venue":"Journal of Physical Activity and Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Centers for Disease Control and Prevention; National Institutes of Health","keywords":"Workgroup; Physical activity; Context (archaeology); Computer science; Self-report study; Process (computing); Observational error; Psychology; Statistics; Medicine; Social psychology; 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":[0.1745203,0.003477518,0.005887819,0.01163363,0.001639167,0.006534935,0.009744304,0.008830566,0.01291723],"category_scores_gemma":[0.487336,0.00235642,0.006366315,0.009989874,0.002826422,0.0182363,0.003990982,0.01060881,0.009397551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005552173,"about_ca_system_score_gemma":0.02703184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219796,"about_ca_topic_score_gemma":0.02925217,"domain_scores_codex":[0.8826933,0.06803776,0.02116942,0.003509457,0.02255779,0.002032278],"domain_scores_gemma":[0.4398839,0.2975603,0.0448912,0.01713413,0.1949994,0.005531127],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003462874,0.0003832984,0.004126418,0.0518729,0.0007684135,0.0002650695,0.001422634,0.000912548,0.0006706924,0.003963971,0.3355142,0.5997535],"study_design_scores_gemma":[0.0008871079,0.0004109984,0.02151673,0.3431621,0.003271922,0.0006094828,0.004124359,0.002185567,0.001936274,0.0198592,0.6014911,0.0005452069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004549636,0.3409836,0.07151288,0.511053,0.03430549,0.0112094,0.007734396,0.002302417,0.01634908],"genre_scores_gemma":[0.02689226,0.3723132,0.4745667,0.07668965,0.005520178,0.02720496,0.006688015,0.0005453221,0.009579677],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8254797,"threshold_uncertainty_score":0.9229624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724348471500198,"score_gpt":0.4701158342282442,"score_spread":0.2976809870782243,"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."}}