{"id":"W2097321635","doi":"10.1177/0042098011411949","title":"Knowledge in Cities","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Labor","keywords":"Metropolitan area; Benchmarking; Productivity; Regional science; Per capita; Economic geography; Economic growth; Geography; Business; Economics; Marketing; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006924971,0.0002093325,0.0003976189,0.0053317,0.004746821,0.00851323,0.000890326,0.0007618291,0.01521749],"category_scores_gemma":[0.005146452,0.0002275479,0.0005041831,0.01196642,0.00436855,0.003335813,0.004519683,0.0006816231,0.0006194875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01437861,"about_ca_system_score_gemma":0.009687712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5513804,"about_ca_topic_score_gemma":0.5162354,"domain_scores_codex":[0.9985152,0.0003245624,0.00006116211,0.00022877,0.0003767585,0.0004936154],"domain_scores_gemma":[0.9967085,0.0008797561,0.0007037517,0.0002778542,0.0007081157,0.0007219698],"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":[0.0001476129,0.0001785049,0.3485615,0.0004482924,0.0001788601,0.00113424,0.0484514,0.008541971,0.0004363754,0.4677598,0.01994818,0.1042133],"study_design_scores_gemma":[0.00004350602,0.00005318586,0.6295209,0.0004562374,0.0001159605,0.0005715913,0.117984,0.006000091,0.0003452463,0.09275785,0.1520482,0.0001031741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6825703,0.002042626,0.002877253,0.005009345,0.00005310673,0.00009141867,0.002480837,0.00007264397,0.3048025],"genre_scores_gemma":[0.9938172,0.000452238,0.0004810017,0.00008596291,0.00001039494,0.00001857104,0.0003843931,0.000006596058,0.004743674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5513804,"threshold_uncertainty_score":0.9025232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594138622704696,"score_gpt":0.2489615347308403,"score_spread":0.08954767246037076,"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."}}