{"id":"W618725355","doi":"","title":"Evolution of Adults’ Weekday Time Use Patterns from 1992 to 2010: A Canadian Perspective","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Demographics; Baseline (sea); Perspective (graphical); Data collection; Set (abstract data type); Survey data collection; Geography; Demography; Computer science; Sociology; Statistics; Political science; Social science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008478642,0.0004502044,0.0007454145,0.002220562,0.001849636,0.0003055083,0.001357539,0.0005635348,0.00179486],"category_scores_gemma":[0.001853116,0.0004990662,0.0003517948,0.003215945,0.001408443,0.001675117,0.00001526929,0.001615974,0.0003687341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465334,"about_ca_system_score_gemma":0.002473598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836357,"about_ca_topic_score_gemma":0.9794466,"domain_scores_codex":[0.9865074,0.002638393,0.001402978,0.00160999,0.005432433,0.00240887],"domain_scores_gemma":[0.987072,0.00211867,0.000255351,0.0008849771,0.00754146,0.002127549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001162584,0.0003542858,0.8915972,0.0001293273,0.0000982432,0.00004897553,0.08580682,0.0003320582,0.001548141,0.01394313,0.003916732,0.001062489],"study_design_scores_gemma":[0.001022031,0.0004582877,0.9428628,0.0004233519,0.00004243772,2.390293e-8,0.03938633,0.0001522427,0.0006380067,0.004567266,0.009934148,0.0005130673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845217,0.00008283233,0.001499928,0.00475778,0.0002766543,0.002517606,0.00319874,0.0002081855,0.002936546],"genre_scores_gemma":[0.9954116,0.00007445511,0.00138088,0.00009835221,0.0004984764,0.0002997919,0.0007424811,0.00009370799,0.001400229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05126558,"threshold_uncertainty_score":0.9997461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426475391187682,"score_gpt":0.3651955830344062,"score_spread":0.3209308291225294,"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."}}