{"id":"W2026784097","doi":"10.3141/2323-08","title":"Modeling the Effect of Land Use on Activity Spaces","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Land use; TRIPS architecture; Mode choice; Travel behavior; Public transport; Mode (computer interface); Population; Regression analysis; Transport engineering; Geography; Business; Econometrics; Environmental resource management; Economics; Computer science; Statistics; Engineering; Mathematics; Civil engineering","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":[0.0008000051,0.0006743672,0.0005425686,0.0007382586,0.0002722294,0.001611041,0.001196105,0.001210782,0.004969927],"category_scores_gemma":[0.003516382,0.000687421,0.001012127,0.001269239,0.0007097691,0.001364584,0.001103469,0.0009267848,0.0007506555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218986,"about_ca_system_score_gemma":0.001104977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04461662,"about_ca_topic_score_gemma":0.03977104,"domain_scores_codex":[0.9995202,0.0001988166,0.00001595471,0.0001369903,0.00003595568,0.00009207781],"domain_scores_gemma":[0.998037,0.001536695,0.0001644186,0.0000760151,0.00007870734,0.0001070374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001662253,0.0002256694,0.05026944,0.00006052282,0.0001151604,0.000143266,0.0002124991,0.9266322,0.0007461574,0.01104,0.0006224992,0.009766364],"study_design_scores_gemma":[0.00001649647,0.00006374731,0.008806263,0.000009124369,0.00003400327,0.00002176485,0.00009840289,0.9857122,0.0001546436,0.004177305,0.0008949023,0.00001125606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258599,0.0005179063,0.0638856,0.000583321,0.00005598682,0.00009424996,0.002151693,0.0002976736,0.006553696],"genre_scores_gemma":[0.9854637,0.0002620485,0.007779457,0.00003058763,0.00001918156,0.0001006918,0.0006328605,0.00003369986,0.005677794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04461662,"threshold_uncertainty_score":0.08871382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413139873517568,"score_gpt":0.4355360383712134,"score_spread":0.2942220510194565,"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."}}