{"id":"W2806589083","doi":"10.1016/j.jth.2018.05.010","title":"Latent profile analysis of young adolescents’ physical activity across locations on schooldays","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Psychology; Developmental psychology; Latent class model; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00137186,0.0003802099,0.0004924046,0.001351257,0.0006221036,0.001427384,0.0006147329,0.0004688721,0.005247982],"category_scores_gemma":[0.004225813,0.0002992455,0.00177209,0.001969491,0.000279481,0.0007230913,0.001496741,0.0009366838,0.001072238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270282,"about_ca_system_score_gemma":0.0009328595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766053,"about_ca_topic_score_gemma":0.03694365,"domain_scores_codex":[0.9989848,0.0003972529,0.00009492281,0.0002174422,0.0001104321,0.0001952486],"domain_scores_gemma":[0.9976241,0.0009517383,0.0005325783,0.0003486731,0.0002956127,0.0002472746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000357348,0.0003982521,0.9858077,0.00002931389,0.0003725346,0.0000494642,0.000816312,0.001217376,0.0006350918,0.0005721261,0.0004532574,0.009291253],"study_design_scores_gemma":[0.00001622018,0.000178429,0.98071,0.00002469515,0.0001130814,0.00005646171,0.002193367,0.01553027,0.0001798849,0.000436795,0.0005434804,0.0000172384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995654,0.00003668133,0.002212931,0.00003586949,0.000005287643,0.00002628697,0.00178283,0.00001481988,0.0002311893],"genre_scores_gemma":[0.9943013,0.00003419802,0.0008689325,0.00000597474,0.000003466658,0.00008345996,0.00396825,0.000006944343,0.0007273995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02766053,"threshold_uncertainty_score":0.05499911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121822171710673,"score_gpt":0.3538406529960312,"score_spread":0.3226224312789245,"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."}}