{"id":"W2137086872","doi":"10.7202/1016526ar","title":"After the Sprawl? Suburban Pasts and Futures In the Greater Toronto Area","year":2000,"lang":"en","type":"article","venue":"Urban History Review","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Suburbanization; Futures contract; Context (archaeology); Geography; Economic geography; Economic growth; Urban planning; Political science; Sociology; Civil engineering; Economics; Engineering; Archaeology; Metropolitan area","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000607287,0.0001985795,0.0001629917,0.0005407324,0.004701854,0.00344291,0.0003523309,0.0006718474,0.005576211],"category_scores_gemma":[0.0005126802,0.0001516796,0.000100224,0.001904126,0.004438973,0.001439566,0.001267644,0.0008204487,0.0004027879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01609817,"about_ca_system_score_gemma":0.009057617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6266516,"about_ca_topic_score_gemma":0.8847689,"domain_scores_codex":[0.9995765,0.0001674878,0.00001009204,0.00002714295,0.00009052131,0.0001281405],"domain_scores_gemma":[0.9995938,0.00007366774,0.00007184479,0.00002853007,0.00006806735,0.0001641346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001122566,0.00002816038,0.01340784,0.001141366,0.00002653554,0.003327472,0.3868078,0.001292648,0.001591973,0.1883352,0.2439199,0.1600089],"study_design_scores_gemma":[0.000003292465,0.00002078391,0.01960554,0.0002775365,0.000009723738,0.000403715,0.07338247,0.00005918861,0.0002094134,0.001823029,0.9041892,0.00001613548],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3448324,0.2094753,0.0007500198,0.08917874,0.001482701,0.00004026316,0.0004941077,0.00007573732,0.3536708],"genre_scores_gemma":[0.857451,0.06820272,0.0003165469,0.001268765,0.0002625539,0.00001344449,0.0001543937,0.0000217418,0.0723089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3733484,"threshold_uncertainty_score":0.7510942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960598071821245,"score_gpt":0.2536553170711947,"score_spread":0.2240493363529822,"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."}}