{"id":"W1265405808","doi":"","title":"Mobility Tool Ownership and Peak Period Non-Work Travel Mode Choice","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Mode choice; Car ownership; Work (physics); Discrete choice; Context (archaeology); Mode (computer interface); Econometrics; Demographic economics; Population; Preference; Economics; Transport engineering; Geography; Public transport; Microeconomics; Computer science; Engineering; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310636,0.0001177003,0.0001189918,0.0005594522,0.0002224308,0.0006342663,0.000270834,0.0001725372,0.003212362],"category_scores_gemma":[0.002416796,0.00008295138,0.0002787813,0.0009781258,0.0003172035,0.0003786112,0.0003973163,0.0001768318,0.0001889114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007981186,"about_ca_system_score_gemma":0.0005516817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06750803,"about_ca_topic_score_gemma":0.150357,"domain_scores_codex":[0.9997863,0.00005821565,0.00001196057,0.00002685535,0.00005246907,0.00006420937],"domain_scores_gemma":[0.9975197,0.001002711,0.0009211657,0.0001559612,0.000169375,0.000231087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005315299,0.00003332891,0.993711,0.00001993954,0.00004054571,0.0001216906,0.0009392644,0.0005730304,0.0003094044,0.0003181431,0.00008593497,0.003794596],"study_design_scores_gemma":[5.903403e-7,0.00002915476,0.9976338,0.000005734593,0.000007174438,0.00005331399,0.001353564,0.000562183,0.00006579168,0.00006753534,0.0002189385,0.00000225523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987507,0.00003702411,0.0001657216,0.0000133977,5.642929e-7,0.000006584484,0.0001871848,0.00000126787,0.000837622],"genre_scores_gemma":[0.9993998,0.00003667795,0.00007525892,0.000002040134,0.000001050939,0.000004497099,0.0001242622,7.489612e-7,0.0003556828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06750803,"threshold_uncertainty_score":0.1342302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08407936181728813,"score_gpt":0.4129384469751384,"score_spread":0.3288590851578502,"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."}}