{"id":"W1561948742","doi":"10.3386/w20921","title":"Cities and Ideas","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01104459,0.0002715575,0.001169774,0.001730845,0.0001335752,0.0001495179,0.0005214247,0.0004553554,0.0009104263],"category_scores_gemma":[0.001683163,0.0003209487,0.0002910731,0.0001912503,0.0004753137,0.0002317293,0.0002982831,0.0005757687,0.0006752012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595307,"about_ca_system_score_gemma":0.002468189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160813,"about_ca_topic_score_gemma":0.00108603,"domain_scores_codex":[0.9966854,0.00005052167,0.001484395,0.000807773,0.0005513877,0.0004205121],"domain_scores_gemma":[0.996093,0.0004240147,0.0008633668,0.0003847132,0.002014123,0.0002208002],"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":[0.000018279,0.00002967345,0.002711752,0.00008582484,0.000304625,0.000001653381,0.00005175675,0.000167998,8.205548e-7,0.8463907,0.14993,0.0003069055],"study_design_scores_gemma":[0.0002498124,0.00005920018,0.0005602679,0.00002987285,0.000007514632,0.00001064841,0.00004011442,0.001390083,0.000003202926,0.7483134,0.2490997,0.0002361657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004665263,0.01127385,0.00001245342,0.002281249,0.0005432547,0.0002846991,0.0008005895,0.00001255239,0.9801261],"genre_scores_gemma":[0.942972,0.01412653,0.000264113,0.00006134304,0.001583814,0.000103246,0.0005687351,0.00008888527,0.04023136],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9398947,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4813512322146028,"score_gpt":0.4680683187847652,"score_spread":0.01328291342983762,"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."}}