{"id":"W2155048232","doi":"10.1177/0042098011402235","title":"Cultural Industries in Small-sized Canadian Cities","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Economic geography; Work (physics); Geography; Small town; Regional science; Economic growth; Demographic economics; Business; Sociology; Socioeconomics; Economics; Population; Demography","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":[0.0002853278,0.0001515871,0.0002421403,0.0001122534,0.0006642577,0.00006132899,0.0002075939,0.0001330344,0.0005079768],"category_scores_gemma":[0.0004071036,0.0001192728,0.00003800964,0.000462437,0.0005758819,0.0001861991,0.00006227754,0.0001966806,0.00004377494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965471,"about_ca_system_score_gemma":0.0005769737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.527683,"about_ca_topic_score_gemma":0.9403318,"domain_scores_codex":[0.9988067,0.00007857111,0.0002292834,0.0001946635,0.0001454749,0.0005452922],"domain_scores_gemma":[0.999445,0.00005294654,0.00005224103,0.00008865492,0.0001865967,0.0001745355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001147994,0.00001424256,0.2169227,0.00000520616,0.00008418162,0.00003404735,0.2444296,1.689622e-7,0.000001836252,0.0116386,0.5215929,0.005265058],"study_design_scores_gemma":[0.0002118746,0.00001947793,0.05634844,0.00004412388,0.0000107192,6.845468e-7,0.2908333,1.62429e-7,0.00007026331,0.000873528,0.6513581,0.000229335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7532117,0.006388849,2.245995e-7,0.008106448,0.0008691884,0.0003795747,0.0000128145,0.0001043028,0.2309269],"genre_scores_gemma":[0.8887125,0.0007541387,0.0001048477,0.0003138191,0.0002121982,0.00004682911,0.00000400875,0.000007422258,0.1098443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4126488,"threshold_uncertainty_score":0.556199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2352048343359621,"score_gpt":0.3168612495577371,"score_spread":0.081656415221775,"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."}}