{"id":"W1835905298","doi":"10.1080/23249935.2015.1073405","title":"An econometric investigation on the relationship between modal accessibility and the home–work spatial configuration of two-commuter households","year":2015,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Central business district; Modal; Geography; Transport engineering; Land use; Mode choice; Spatial configuration; Business; Demographic economics; Economics; Public transport; Engineering; Civil engineering; Mathematics","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":[0.001321437,0.0002206764,0.0003516774,0.001262335,0.000431106,0.001042312,0.0006147719,0.0004930548,0.009828259],"category_scores_gemma":[0.009723828,0.000258893,0.0007393397,0.003367177,0.0005481288,0.000945892,0.0008567419,0.0007699086,0.0006411762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009153648,"about_ca_system_score_gemma":0.0005427496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01830745,"about_ca_topic_score_gemma":0.01503845,"domain_scores_codex":[0.9990289,0.0004801282,0.00006708223,0.0001334293,0.0001267911,0.000163635],"domain_scores_gemma":[0.9852528,0.009856878,0.0027679,0.0006655052,0.0007673159,0.000689602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001519126,0.00015098,0.9833535,0.00002943158,0.0001261399,0.0003277429,0.000392442,0.006696141,0.0002480203,0.002566345,0.0002950756,0.005662282],"study_design_scores_gemma":[0.0000105557,0.000176639,0.9590919,0.0000095947,0.0000770671,0.0002046494,0.002490132,0.03533153,0.0001257488,0.001595801,0.0008655905,0.00002072564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995357,0.00007579471,0.002184956,0.0001009947,0.000003584246,0.00002421519,0.0005730404,0.00001214105,0.001668324],"genre_scores_gemma":[0.9982457,0.00004910705,0.000453544,0.000006581381,0.00000730586,0.0000161584,0.0004335075,0.000001814973,0.000786408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830745,"threshold_uncertainty_score":0.03640175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418522865419125,"score_gpt":0.3314599819866137,"score_spread":0.1896076954447012,"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."}}