{"id":"W2097023452","doi":"10.1080/00420980601176055","title":"Smart Growth and Development Reality: The Difficult Co-ordination of Land Use and Transport Objectives","year":2007,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Smart growth; Public transport; Neighbourhood (mathematics); Economic geography; Land use; Business; Intervention (counseling); Economic growth; Regional science; Transport engineering; Economics; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003643367,0.0003704517,0.0003203679,0.0007406051,0.004438874,0.008558023,0.0006781178,0.001313456,0.00193883],"category_scores_gemma":[0.004226628,0.0002070791,0.0001843919,0.000934638,0.03600836,0.008514853,0.007167117,0.002581184,0.0001462412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008098747,"about_ca_system_score_gemma":0.005416031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443859,"about_ca_topic_score_gemma":0.03345469,"domain_scores_codex":[0.9974307,0.001571901,0.00005198646,0.0002908978,0.0003574437,0.0002971029],"domain_scores_gemma":[0.9979149,0.0009623871,0.000223102,0.0003279518,0.0002122084,0.0003595336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008168033,0.000008401114,0.001290205,0.00004564038,0.00000523854,0.0001602885,0.02793643,0.0004857864,0.0001807217,0.9599039,0.001596036,0.008379175],"study_design_scores_gemma":[0.00001446196,0.00005969103,0.007564956,0.000159011,0.00001837455,0.000323829,0.1125251,0.002128408,0.0005237701,0.6697612,0.2068798,0.00004138878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3630044,0.006822599,0.05686684,0.1869472,0.0008293988,0.0001004028,0.0001912072,0.0001637291,0.3850742],"genre_scores_gemma":[0.9912,0.0006856736,0.00298147,0.0005731963,0.00005627181,0.00002019755,0.00001664521,0.00001437992,0.004452174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01443859,"threshold_uncertainty_score":0.05876082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591966493512645,"score_gpt":0.3270179225065642,"score_spread":0.2678212731552997,"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."}}