{"id":"W2141836678","doi":"10.1123/pes.2012-0128","title":"Association Between Accelerometer-Measured Physical Activity Intensities and Sedentary Time in 8- to 10-Year-Old Children","year":2014,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"sed; Physical activity; Sedentary behavior; Medicine; Screen time; Cohort; Linear regression; Demography; Physical therapy; Animal science; Internal medicine; Mathematics; Biology; Statistics","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":[0.0009931447,0.0002031086,0.0005489724,0.000407508,0.0001333879,0.00008978546,0.0002527419,0.00007744263,0.00002493847],"category_scores_gemma":[0.0008016084,0.0001891892,0.0000712712,0.001463726,0.0001351817,0.0005753498,0.0003411946,0.0003020987,0.0002622414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204786,"about_ca_system_score_gemma":0.00008818423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002627422,"about_ca_topic_score_gemma":0.000009268007,"domain_scores_codex":[0.9976249,0.00007225129,0.0001603533,0.0006211785,0.001010931,0.0005103833],"domain_scores_gemma":[0.9987274,0.0002910889,0.0001154546,0.0003175121,0.000188836,0.0003596642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003702863,0.0008848152,0.9920546,0.00002681931,0.000008160645,0.000001072071,0.0002053117,0.000002511602,0.002562777,0.000005333446,0.0005144976,0.003697019],"study_design_scores_gemma":[0.0005687945,0.0002364778,0.9939464,0.00002628719,0.0001596038,0.00000115864,0.00001230746,0.0003760855,0.004246298,0.0002203429,0.000005781479,0.0002004026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983773,0.000008034706,0.00000925717,0.0005498284,0.00007189802,0.0004512285,0.00001750426,0.00007405054,0.0004408456],"genre_scores_gemma":[0.9982722,0.00001469916,0.0001730387,0.00008286311,0.0007634117,0.0000152882,0.000005992948,0.00001670254,0.0006558069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003496617,"threshold_uncertainty_score":0.7714914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209058783430704,"score_gpt":0.2581812311078873,"score_spread":0.2460906432735802,"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."}}