{"id":"W3122566975","doi":"","title":"About the Origin of Cities","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Russian Science Foundation; Agence Nationale de la Recherche","keywords":"Hierarchy; Economic geography; Human settlement; Urban hierarchy; Distribution (mathematics); Geography; Class (philosophy); Economy; Economics; Computer science; Market economy; Sociology; Mathematics; Archaeology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009039457,0.0002334858,0.000358671,0.0009581243,0.002803351,0.003913323,0.0008664614,0.002329263,0.01306962],"category_scores_gemma":[0.004135751,0.0003240569,0.0004248935,0.001022172,0.005448727,0.006062867,0.002225146,0.003464661,0.001447821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904058,"about_ca_system_score_gemma":0.0007498869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829681,"about_ca_topic_score_gemma":0.004120026,"domain_scores_codex":[0.9994349,0.0001447363,0.00001698388,0.0002288582,0.00006198847,0.0001124605],"domain_scores_gemma":[0.9989914,0.0003572259,0.0001255417,0.0001788032,0.0001841747,0.0001628341],"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":[0.00001024797,0.000003267639,0.0006679262,0.00001730879,0.00000437684,0.00004321529,0.0004919574,0.0006539198,0.00006633638,0.9932957,0.001330421,0.00341519],"study_design_scores_gemma":[0.00001203545,0.000006527123,0.001540158,0.00005336545,0.000006968811,0.0001354466,0.0005430257,0.001758279,0.0001108542,0.9629732,0.0328458,0.00001429855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3354388,0.008956434,0.1005205,0.05358714,0.000823695,0.00006585284,0.001433548,0.0001901426,0.4989838],"genre_scores_gemma":[0.9686873,0.002334195,0.009592801,0.001335143,0.0002966926,0.0000373236,0.0003626524,0.0001021764,0.01725174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01306962,"threshold_uncertainty_score":0.04372227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135277751786176,"score_gpt":0.2242005660896792,"score_spread":0.2028477885718175,"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."}}