{"id":"W2401628791","doi":"10.1080/08111146.2016.1187122","title":"Contested Infrastructures: Tension, Inequity and Innovation in the Global Suburb","year":2016,"lang":"en","type":"article","venue":"Urban Policy and Research","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Apprehension; Warrant; Urban infrastructure; Economic geography; Economic growth; Diversity (politics); Inequality; Object (grammar); Scale (ratio); Urban planning; Business; Political science; Sociology; Geography; Economics; Civil engineering; Computer science; Engineering; Law; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002297419,0.00005475017,0.00007550955,0.0001626401,0.000416118,0.00008956833,0.0001681867,0.00008297778,0.000008057737],"category_scores_gemma":[0.004815762,0.00002859649,0.000007200343,0.001561858,0.0007652132,0.0001235335,0.00006540153,0.0001605099,0.000003842746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009535044,"about_ca_system_score_gemma":0.0002611724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01595678,"about_ca_topic_score_gemma":0.003017995,"domain_scores_codex":[0.9985324,0.0003950788,0.0001371571,0.0001548532,0.0004379615,0.0003425823],"domain_scores_gemma":[0.9990234,0.0006087319,0.00003579997,0.0001131317,0.0001648685,0.00005401225],"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":[0.00003101409,0.00001275628,0.4134267,0.000006174258,0.000003089355,0.000006346563,0.008333663,4.939287e-8,0.0003108796,0.5157605,0.05644077,0.005668107],"study_design_scores_gemma":[0.0004660898,0.00006187098,0.7086979,0.00007011095,0.000001159625,0.000005231476,0.001490067,0.00000433965,0.00002722367,0.05348701,0.2356121,0.00007684604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510421,0.0003602094,0.00001054664,0.02612693,0.00003774289,0.0001655671,0.0000283345,0.00001451254,0.02221413],"genre_scores_gemma":[0.9959884,0.0001619671,0.000009567701,0.0005303696,0.0003168536,0.00000579539,0.000001118542,0.00000233488,0.002983624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4622735,"threshold_uncertainty_score":0.9905961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09039315277861683,"score_gpt":0.4298510996764008,"score_spread":0.339457946897784,"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."}}