{"id":"W2093975824","doi":"10.1016/j.amepre.2004.06.018","title":"Economic determinants of urban form","year":2004,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Destinations; Investment (military); Business; Transport engineering; Transit (satellite); Land use; Economic impact analysis; Economic cost; Economics; Public transport; Microeconomics; Geography; Tourism; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009946716,0.00007732517,0.0004338543,0.0001012814,0.00007115251,0.000003828391,0.0002880996,0.00001913331,0.000259315],"category_scores_gemma":[0.0001021669,0.00005685166,0.0001195096,0.0001650425,0.001427262,0.0002367676,0.000009401841,0.0001108689,0.000003105302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403811,"about_ca_system_score_gemma":0.0003411585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012302,"about_ca_topic_score_gemma":0.002174967,"domain_scores_codex":[0.9988507,0.000075308,0.0005532194,0.0000905611,0.0002599928,0.0001702412],"domain_scores_gemma":[0.9986326,0.00007435068,0.0009357515,0.00009501705,0.0001248764,0.0001374413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008301303,0.00008930356,0.9396042,0.00001126146,0.00004960888,0.00002029423,0.01707332,0.00000368973,0.0001540121,0.0005109008,0.0001530826,0.04224727],"study_design_scores_gemma":[0.001893567,0.002016746,0.9622321,0.0005076361,0.000173042,0.00000770131,0.01784716,0.000001102872,0.001607354,0.01042712,0.003130623,0.0001558788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958576,0.0002408699,0.0005334855,0.0005669154,0.0003008681,0.00007898655,0.00000282273,0.00000406533,0.002414405],"genre_scores_gemma":[0.9988757,0.00009179859,0.0003678642,0.00004945823,0.0004362328,6.440509e-7,4.076878e-7,0.000005310495,0.0001725653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209139,"threshold_uncertainty_score":0.5258805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142938991663829,"score_gpt":0.3275337137992521,"score_spread":0.3132398146328692,"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."}}