{"id":"W303925712","doi":"10.3138/9781442666962","title":"Innovating in urban economies : economic transformation in Canadian city-regions","year":2014,"lang":"en","type":"book","venue":"Project Muse (Johns Hopkins University)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Globalization; Creative class; The arts; Economic geography; Sociology; Economy; Creativity; Political science; Geography; Economics; Anthropology","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":[0.0007090765,0.0003486709,0.0002661415,0.002395885,0.01471196,0.009069018,0.001223308,0.0008790821,0.003130909],"category_scores_gemma":[0.00123691,0.0002125089,0.0005807697,0.01026336,0.009687456,0.002212033,0.003576356,0.001406209,0.0002732479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1378243,"about_ca_system_score_gemma":0.1282304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911726,"about_ca_topic_score_gemma":0.9971079,"domain_scores_codex":[0.9988802,0.00008969526,0.0000180381,0.00007392238,0.0003610946,0.0005771921],"domain_scores_gemma":[0.9995258,0.00005886239,0.00003161051,0.00002827315,0.0001912733,0.0001642264],"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":[0.00003692856,0.00003010998,0.01166974,0.0001844833,0.00002011232,0.0007234519,0.07440778,0.003338044,0.0003510982,0.7729586,0.0398993,0.09638042],"study_design_scores_gemma":[0.00001126562,0.00001702526,0.05952687,0.0002555466,0.0000345376,0.00025519,0.09628995,0.00173425,0.0003923123,0.03198294,0.809425,0.00007519428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2189415,0.01901265,0.001827372,0.01682954,0.0002428568,0.0001094971,0.001024902,0.0001075146,0.7419043],"genre_scores_gemma":[0.9153119,0.01884981,0.001995745,0.0007995358,0.00003933037,0.00003779555,0.0004724118,0.00005916395,0.06243438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1378243,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638053760235342,"score_gpt":0.2439010916344786,"score_spread":0.2175205540321252,"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."}}