{"id":"W4236745080","doi":"10.1093/obo/9780190922481-0033","title":"Urban Economics","year":2020,"lang":"en","type":"reference-entry","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Population; Metropolitan area; Distribution (mathematics); Geography; Position (finance); Economic geography; Space (punctuation); Natural resource; Interdependence; Economics; Mathematics; Computer science; Ecology; Demography; Sociology","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":[0.0008207443,0.000847756,0.0006587593,0.001233449,0.00260268,0.007531353,0.0009119853,0.002883921,0.2107804],"category_scores_gemma":[0.003299926,0.0003719977,0.0005176172,0.002649762,0.002527674,0.004720429,0.00320906,0.00213277,0.08774169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003892016,"about_ca_system_score_gemma":0.003009697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00739575,"about_ca_topic_score_gemma":0.01003714,"domain_scores_codex":[0.9988586,0.0003222725,0.00006311977,0.0002521756,0.0003399046,0.0001639685],"domain_scores_gemma":[0.9989806,0.0002543091,0.00006020909,0.0002222072,0.0003340495,0.0001486186],"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":[0.00001805411,0.00002545249,0.0008595668,0.0001833318,0.00001142002,0.0000827739,0.0003374601,0.0004419692,0.0000837183,0.4731416,0.434637,0.09017768],"study_design_scores_gemma":[0.000002487404,0.000005311843,0.0003710019,0.0001156234,0.000002510104,0.00005875093,0.0001816548,0.00009617392,0.00003345357,0.02793979,0.9711885,0.000004694848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001278203,0.01007815,0.003897196,0.02469668,0.001753138,0.00005525615,0.001600001,0.0003012038,0.9563401],"genre_scores_gemma":[0.06271876,0.02134055,0.003024965,0.00705344,0.001776031,0.0001392441,0.001659562,0.000391729,0.9018958],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2107804,"threshold_uncertainty_score":0.7051308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860206492498349,"score_gpt":0.2042650934845065,"score_spread":0.155663028559523,"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."}}