{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008065174,0.0003279924,0.0003858217,0.002804667,0.001601866,0.00645121,0.0005054158,0.001178646,0.04483825],"category_scores_gemma":[0.005755816,0.0002316222,0.0004790924,0.01020189,0.003336756,0.004629762,0.003219321,0.001308924,0.003131931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550133,"about_ca_system_score_gemma":0.002531875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233114,"about_ca_topic_score_gemma":0.01712675,"domain_scores_codex":[0.9991104,0.0002744721,0.00005063881,0.0001317208,0.000231824,0.0002009531],"domain_scores_gemma":[0.996725,0.001312523,0.0008907432,0.0002823333,0.0003595933,0.0004297677],"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":[0.00003957668,0.00003394024,0.02429333,0.0002866449,0.00005627663,0.0002078788,0.002174682,0.001996424,0.00005771837,0.8914527,0.03893166,0.04046918],"study_design_scores_gemma":[0.00003788395,0.00003444344,0.05615327,0.0004403277,0.00004528308,0.0002844012,0.005820951,0.000870346,0.0001271622,0.3139542,0.6221991,0.00003258726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1338833,0.0284144,0.006060397,0.0354416,0.0004900831,0.0001234711,0.006433671,0.000172611,0.7889804],"genre_scores_gemma":[0.8919179,0.02386641,0.003706677,0.001955622,0.0004570097,0.0001358001,0.003052084,0.00009436462,0.07481427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04483825,"threshold_uncertainty_score":0.1499989,"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."}}