{"id":"W3150104360","doi":"","title":"From Sequential to Parallel Growth of Cities： Theory and Evidence from Canada","year":2016,"lang":"en","type":"article","venue":"中国地理科学：英文版","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Economic geography; Distribution (mathematics); Convergence (economics); Geography; Club; Population growth; Population; Population size; Mode (computer interface); Economic growth; Economics; Demography; Mathematics; Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002952733,0.0001438898,0.000451214,0.00009954148,0.00005292804,0.00003579893,0.0002710884,0.00006442045,0.0009415267],"category_scores_gemma":[0.0002158374,0.0001265774,0.00009633883,0.00008788498,0.00007273121,0.0001746463,0.0001061604,0.00004951242,0.00008535729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274776,"about_ca_system_score_gemma":0.00009219847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9177057,"about_ca_topic_score_gemma":0.5392611,"domain_scores_codex":[0.9987615,0.00002697129,0.0005248013,0.0004392172,0.00004694544,0.0002005898],"domain_scores_gemma":[0.9988283,0.0004207223,0.0002646662,0.0003007445,0.00003886176,0.0001467363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003939521,0.00005402427,0.3867783,0.00002895359,0.00078149,0.00001917657,0.002262749,0.0001392174,0.001659413,0.5935137,0.01038017,0.003988864],"study_design_scores_gemma":[0.001213226,0.0001284832,0.3118647,0.0002416866,0.00006819745,0.000001517545,0.0004344051,0.0007652877,0.002026834,0.6698666,0.0124794,0.0009096798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981453,0.001857912,0.01013658,0.004276718,0.0002643047,0.00008538386,0.0008941671,0.000007897272,0.001024049],"genre_scores_gemma":[0.9972684,0.0005184526,0.0006041912,0.0004951109,0.0002169872,0.00001215587,0.00001262684,0.00001550336,0.0008565394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3784446,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875478274659306,"score_gpt":0.2003840158901057,"score_spread":0.1716292331435126,"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."}}