{"id":"W2046024973","doi":"10.1080/02723638.2013.778651","title":"Metropolitics in Motion: The Dynamics of Transportation and State Reterritorialization in the Chicago and Toronto City-Regions","year":2013,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Economic geography; Dynamics (music); State (computer science); Motion (physics); Geography; Regional science; Sociology; Economic growth; Economics; Computer science; Classical mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006932294,0.00013789,0.0001490282,0.001003963,0.005986686,0.005736404,0.0006707244,0.0006130955,0.004197271],"category_scores_gemma":[0.001790029,0.0002033552,0.0001847344,0.00225736,0.008775843,0.001296111,0.003089234,0.0007070417,0.0001698141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02553114,"about_ca_system_score_gemma":0.009501052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7492116,"about_ca_topic_score_gemma":0.9026294,"domain_scores_codex":[0.9992561,0.0002732122,0.00001405473,0.00007788895,0.00008705688,0.0002916987],"domain_scores_gemma":[0.9990299,0.0002109404,0.0001960698,0.0000692034,0.000134553,0.0003593303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002173513,0.00004457833,0.1268224,0.000114638,0.00006962795,0.002132838,0.5102307,0.004952107,0.00168629,0.3180884,0.01628033,0.01936072],"study_design_scores_gemma":[0.00001872179,0.00003977561,0.298133,0.0001588762,0.00005494885,0.0002807416,0.5551663,0.002865351,0.0006728482,0.008251845,0.1342595,0.00009824301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552072,0.0008322141,0.0003829777,0.002898344,0.00002244689,0.00001804275,0.0002195241,0.00001862973,0.04040062],"genre_scores_gemma":[0.9969308,0.0001647721,0.00007178225,0.00003911195,0.00000470206,0.000006158166,0.00004117597,0.000006656229,0.002734965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2507884,"threshold_uncertainty_score":0.5045307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008863452321785743,"score_gpt":0.2364358362454749,"score_spread":0.2275723839236891,"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."}}