{"id":"W2766502738","doi":"10.14288/1.0349188","title":"Hot, Uneven, and Connected : Urban Planning in Metro Vancouver's Latest Global Age","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Urban planning; Regional science; Environmental planning; Economic geography; Economic growth; Civil engineering; Engineering; Economics","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":[0.0005445794,0.0002435947,0.0002121815,0.001011091,0.02042629,0.009141255,0.0008704201,0.001076496,0.009436223],"category_scores_gemma":[0.001537557,0.0002812859,0.0001182148,0.00318115,0.005612939,0.0014052,0.003084067,0.002823818,0.0004695184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03392996,"about_ca_system_score_gemma":0.0430656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815299,"about_ca_topic_score_gemma":0.9976473,"domain_scores_codex":[0.9991702,0.0002133094,0.00001586937,0.00005498704,0.000125834,0.0004199592],"domain_scores_gemma":[0.999061,0.00009907057,0.00004437544,0.00002570768,0.0002189224,0.000550907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009202864,0.0001191294,0.08204881,0.0002484243,0.00003033455,0.001477915,0.5452258,0.0008029534,0.0004182805,0.1152747,0.1227705,0.1314912],"study_design_scores_gemma":[0.000004354772,0.00001099345,0.04849115,0.000182316,0.00001280437,0.0001811104,0.6783435,0.0001155849,0.00009115259,0.003123866,0.2694106,0.00003256074],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.60193,0.008901248,0.0006245312,0.0621146,0.0004343199,0.0000747511,0.0007810637,0.00004788169,0.3250916],"genre_scores_gemma":[0.9338886,0.003278494,0.0003857648,0.001140402,0.00004269613,0.00002324477,0.0001631287,0.00004134524,0.06103634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03392996,"threshold_uncertainty_score":0.2461802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079801196247428,"score_gpt":0.1877166817853013,"score_spread":0.1797365621605585,"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."}}