{"id":"W1996893592","doi":"10.1177/0042098011423565","title":"Transformative Metropolitan Development Models in Large Canadian Urban Areas: The Predominance of Nodes","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Popularity; Sustainability; Transformative learning; Urban planning; Scale (ratio); Smart growth; Regional science; Business; Environmental planning; Regional planning; Economic growth; Geography; Political science; Engineering; Economics; Sociology; 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":[0.0009454929,0.0003126072,0.000156533,0.001344486,0.005347137,0.004001638,0.0009792621,0.0003557981,0.004120713],"category_scores_gemma":[0.001867703,0.0001719284,0.0003331088,0.002994181,0.005389427,0.001649921,0.002648293,0.0006331945,0.0002308194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03840759,"about_ca_system_score_gemma":0.02684692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8359329,"about_ca_topic_score_gemma":0.9525642,"domain_scores_codex":[0.9991832,0.0002102927,0.00001605659,0.00008999566,0.0002486825,0.0002516396],"domain_scores_gemma":[0.9993495,0.000138829,0.00006314037,0.00006457671,0.0002079108,0.000176066],"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":[0.00003238118,0.00001593241,0.005441894,0.00007149801,0.000006859159,0.0002667789,0.0169071,0.009224126,0.0004892726,0.9399968,0.002261666,0.02528566],"study_design_scores_gemma":[0.00004195546,0.0001200211,0.03919019,0.000273723,0.00008891302,0.0006418543,0.1312017,0.05625462,0.001265456,0.2638115,0.5069882,0.0001217855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4301652,0.001279209,0.03106901,0.004877852,0.00005341482,0.0002178538,0.000297705,0.0002045579,0.5318351],"genre_scores_gemma":[0.979571,0.0006322525,0.004752329,0.00005201975,0.000003922672,0.00003630033,0.00005356038,0.00002138705,0.0148772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1640671,"threshold_uncertainty_score":0.3300667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712094702913579,"score_gpt":0.3006652396792363,"score_spread":0.2294557693878784,"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."}}