{"id":"W2303161261","doi":"10.14288/1.0098439","title":"Coordination of transportation and land use planning : a case study of Greater Vancouver","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land use; Land-use planning; Transportation planning; Environmental planning; Regional planning; Business; Urban planning; Transport engineering; Geography; Engineering; Civil engineering","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":[0.001308602,0.0004471984,0.0004698298,0.00117755,0.01600772,0.003594843,0.002472994,0.001980134,0.003978253],"category_scores_gemma":[0.004188452,0.0005477141,0.0002611532,0.004361483,0.002835645,0.00099899,0.003042189,0.002132739,0.0002879144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03345324,"about_ca_system_score_gemma":0.01704675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.885451,"about_ca_topic_score_gemma":0.9622978,"domain_scores_codex":[0.9974797,0.001078181,0.00007017462,0.0002068291,0.0004853959,0.0006797768],"domain_scores_gemma":[0.9973826,0.000971596,0.0002069468,0.0001247226,0.0004939735,0.0008200259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005367831,0.002779531,0.1738111,0.0006735437,0.0001533168,0.09520969,0.5355736,0.01962105,0.004180297,0.03170403,0.01134653,0.1244106],"study_design_scores_gemma":[0.00008192581,0.0005177932,0.07206387,0.0001969743,0.00004155303,0.003170956,0.8417778,0.007848838,0.0008626714,0.001975572,0.07136752,0.00009453598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814243,0.000240496,0.000481395,0.0008903065,0.00001163806,0.0001533383,0.00006435495,0.000009956274,0.01672433],"genre_scores_gemma":[0.9896925,0.0005951988,0.0009975255,0.0001534387,0.00000616674,0.00008133987,0.00007429084,0.00001135917,0.00838824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114549,"threshold_uncertainty_score":0.2427214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425759779495689,"score_gpt":0.2152268189550849,"score_spread":0.2009692211601281,"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."}}