{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008492473,0.0001394326,0.0002960908,0.0001106299,0.0005431484,0.00001101317,0.0003548885,0.00005630415,0.0000490416],"category_scores_gemma":[0.00005316397,0.00009713809,0.00006520751,0.0003868684,0.0005832783,0.0003621789,0.00001893205,0.0001171,0.00000395504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004586017,"about_ca_system_score_gemma":0.0004216427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1608769,"about_ca_topic_score_gemma":0.868018,"domain_scores_codex":[0.9985773,0.0001063873,0.0003821209,0.0001936552,0.0002506457,0.0004899055],"domain_scores_gemma":[0.9994214,0.000071113,0.00009177755,0.0001650979,0.000155012,0.00009564774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001818043,0.00006849031,0.5012275,0.00002754913,0.00007307532,0.000002757157,0.468601,6.825904e-7,8.209597e-7,0.02895712,0.0006709719,0.0003518485],"study_design_scores_gemma":[0.0005431091,0.00003222136,0.7165909,0.0001320761,0.00004778398,8.367969e-8,0.2576497,0.00002686522,0.0006678449,0.01387837,0.01010838,0.0003226424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879322,0.008953737,0.0001648919,0.0003548243,0.0001559044,0.0005477414,0.00005768174,0.00003001243,0.101803],"genre_scores_gemma":[0.9987268,0.0001946826,0.0002984407,0.00006379244,0.00003242468,0.00005677171,0.000002299501,0.000006886319,0.0006179099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.707141,"threshold_uncertainty_score":0.8447109,"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."}}