{"id":"W7097193746","doi":"","title":"Geography Working Paper Series Defining and Measuring Metropolitan Areas:","year":2008,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Official statistics; Metropolitan area; Census; Subject (documents); Permission; Period (music)","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":[0.0002282872,0.0001443452,0.0003800561,0.0003144929,0.0002914556,0.00007411375,0.000114755,0.00006102887,0.0003063133],"category_scores_gemma":[0.00003485654,0.0001546032,0.0001683429,0.0002067835,0.0001138549,0.0003223378,0.00006189751,0.00008838197,0.0001079096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006104878,"about_ca_system_score_gemma":0.000007981581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566679,"about_ca_topic_score_gemma":0.0004684973,"domain_scores_codex":[0.9988995,0.00000708338,0.0004400149,0.0003694247,0.00002854838,0.0002554186],"domain_scores_gemma":[0.999482,0.0000339958,0.0001614676,0.0001971396,0.00001861639,0.0001067763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004883897,0.00001023904,0.4925539,0.000003092751,0.00008141573,0.000003567581,0.0000622989,0.00002261932,0.000002752885,0.5068757,0.00008019993,0.0002993366],"study_design_scores_gemma":[0.0006471166,0.00008496478,0.7248572,0.00002632579,0.00002565056,0.00009287748,0.0006365432,0.002062729,0.00005652532,0.1782261,0.09239179,0.0008922284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7978106,0.007606824,0.001066052,0.001505132,0.0001279706,0.00006569963,0.00001383987,0.00005563569,0.1917482],"genre_scores_gemma":[0.9938568,0.002719238,0.002246059,0.0003954479,0.00006571098,0.000009742645,0.00000628489,0.0000183046,0.0006823526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286496,"threshold_uncertainty_score":0.6304533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894102852099283,"score_gpt":0.1839931832337082,"score_spread":0.1450521547127154,"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."}}