{"id":"W1572644233","doi":"10.1111/1468-2427.12146","title":"Locating the Urban In‐between: Tracking the Urban Politics of Infrastructure in <scp>T</scp>oronto","year":2014,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Politics; Urbanity; Metropolitan area; Urban politics; Downtown; Economic geography; Urban geography; Urban studies; Scale (ratio); Odds; Geography; Sociology; Urban planning; Political science; Regional science; Economy; Law; Cartography; Archaeology; Civil engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004650354,0.00009874381,0.0001952457,0.0002616773,0.0002795696,0.0001416031,0.001037438,0.0001074427,0.000007619491],"category_scores_gemma":[0.004479862,0.00006094608,0.00008020006,0.000339224,0.0008849411,0.0002242848,0.0000965644,0.0009545672,0.000001507604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420676,"about_ca_system_score_gemma":0.0004334163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184412,"about_ca_topic_score_gemma":0.0008248239,"domain_scores_codex":[0.9964162,0.0006640212,0.0005016644,0.0001432736,0.001900648,0.0003742309],"domain_scores_gemma":[0.9940403,0.004609579,0.0003516665,0.0001205433,0.0007675223,0.0001103911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003069238,0.00005754561,0.785277,0.0000144357,0.00006017125,0.00002471532,0.04436853,0.0001732231,0.0000725499,0.08777976,0.07803615,0.004105201],"study_design_scores_gemma":[0.0005613191,0.0001142792,0.6140227,0.000419828,0.000007688159,0.00002489431,0.01605665,0.0003098005,0.0000649266,0.01364177,0.3547155,0.00006060056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975164,0.003004617,0.00007049054,0.01259884,0.0003261403,0.0001241877,0.000009850448,0.000004080119,0.008697773],"genre_scores_gemma":[0.9959652,0.0002401784,0.00006109368,0.000202468,0.001867578,0.000001994643,0.000001675076,0.000008875137,0.001650925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766793,"threshold_uncertainty_score":0.5363137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06544461334218118,"score_gpt":0.3803663463035775,"score_spread":0.3149217329613964,"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."}}