{"id":"W7098056370","doi":"","title":"Kyoto University","year":2015,"lang":"en","type":"article","venue":"","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Quarter (Canadian coin); Population; Urban hierarchy; Urban agglomeration; Population projection; Economies of agglomeration","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":[],"consensus_categories":[],"category_scores_codex":[0.0001253785,0.00001541742,0.00002117189,0.000006836775,0.00007995926,0.00001231812,0.00007776925,0.00002476217,0.0001245408],"category_scores_gemma":[0.00002536947,0.00001498242,0.00001115039,0.0001024518,0.00005055812,0.00006088606,0.00001597861,0.00001680842,0.0002020144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000611649,"about_ca_system_score_gemma":0.0000970172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009950841,"about_ca_topic_score_gemma":0.005900894,"domain_scores_codex":[0.999741,0.0000250648,0.00001514601,0.00004077629,0.00009192659,0.00008608369],"domain_scores_gemma":[0.9997898,0.000008037803,0.000006020575,0.00003554509,0.00003707504,0.0001235718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002860673,0.000004922289,0.003241753,6.643955e-8,9.308147e-7,0.000004577008,0.0006674664,0.00003741698,6.5734e-8,0.9211736,0.07412637,0.0007399984],"study_design_scores_gemma":[0.00006533532,0.000007293519,0.0003137931,4.416852e-7,0.000001217217,1.193818e-7,0.006388439,0.0002247357,7.413909e-8,0.008575918,0.9843943,0.0000283326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02870797,0.00001167856,0.0005129325,0.001017366,0.0001392715,0.00002611089,3.119326e-7,0.00005199599,0.9695324],"genre_scores_gemma":[0.8930851,0.00001258064,0.0003729151,0.0002281889,0.00006812826,2.893738e-8,4.304118e-7,8.271979e-7,0.1062319],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9125977,"threshold_uncertainty_score":0.996642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654186318203001,"score_gpt":0.2703043863470781,"score_spread":0.2237625231650481,"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."}}