{"id":"W2098814255","doi":"10.1186/1479-5868-6-12","title":"How well do cognitive and environmental variables predict active commuting?","year":2009,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cognition; Variance (accounting); Psychology; Regression analysis; Multilevel model; Variables; Theory of planned behavior; Structural equation modeling; Explained variation; Path analysis (statistics); Demography; Developmental psychology; Statistics; Control (management); Mathematics; Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001282412,0.00008598027,0.0001561807,0.00004945658,0.0001505081,0.0001637243,0.0001126339,0.00005219587,0.00002780267],"category_scores_gemma":[0.00001253615,0.00007769502,0.00007704733,0.00004115361,0.0002667563,0.0009323211,0.00001602296,0.0002310626,3.776069e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006104901,"about_ca_system_score_gemma":0.00002426557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009045727,"about_ca_topic_score_gemma":0.00001535172,"domain_scores_codex":[0.9991889,0.00009210649,0.00009831458,0.0001184909,0.0003971462,0.0001050634],"domain_scores_gemma":[0.9994896,0.00009384126,0.0001758682,0.00002864473,0.00009525175,0.000116762],"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":[0.002480083,0.01867707,0.235152,0.00001923178,0.0001648418,0.0001267226,0.01094161,5.909412e-7,0.0389981,0.001775741,0.000245498,0.6914185],"study_design_scores_gemma":[0.003310908,0.0007196914,0.9598295,0.0002190921,0.0001783732,0.00001878992,0.007603489,0.00005944118,0.01296064,0.01200007,0.002816659,0.0002833305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975525,0.0000536782,0.0001352583,0.001638545,0.000113453,0.000104509,0.0001103554,0.000008381916,0.0002833481],"genre_scores_gemma":[0.9992719,0.0001273381,0.00004776426,0.0000457475,0.000461432,0.000001550845,0.00001168366,0.000002835581,0.00002975061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7246775,"threshold_uncertainty_score":0.3168311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155686354515312,"score_gpt":0.3229384917235747,"score_spread":0.3013816281784216,"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."}}