{"id":"W2138464795","doi":"10.1016/j.labeco.2013.08.006","title":"New casinos and local labor markets: Evidence from Canada","year":2013,"lang":"en","type":"article","venue":"Labour Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; Bureau of Indian Affairs; University of Alberta","keywords":"Earnings; Labour economics; Hospitality industry; Hospitality; Tourism; Business; Economics; Entertainment; Finance; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002612638,0.0002794609,0.0005639339,0.00009426637,0.0001272115,0.0003339103,0.000350928,0.000161886,0.004074159],"category_scores_gemma":[0.0001200409,0.0003624279,0.00006371795,0.00009284722,0.00006935331,0.0007782934,0.0001493504,0.000196616,0.0008759198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005152684,"about_ca_system_score_gemma":0.0003628808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8641444,"about_ca_topic_score_gemma":0.5152582,"domain_scores_codex":[0.9980361,0.00001718411,0.0007679968,0.0006621827,0.00001895701,0.0004975657],"domain_scores_gemma":[0.9984689,0.0002550374,0.0003480331,0.000511072,0.0000298902,0.000387038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007610296,0.00003582129,0.7636293,0.00005563725,0.0002003519,0.00001274076,0.0005214071,0.000462151,0.00001477938,0.1141945,0.01583697,0.1049603],"study_design_scores_gemma":[0.001114974,0.00004469406,0.5881577,0.00006043518,0.00001650715,0.00001619694,0.0003362883,0.007369124,0.0001592494,0.2036846,0.1978665,0.001173776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838965,0.001597275,0.001257499,0.003252472,0.001039788,0.0002340231,0.0003165849,0.00004246544,0.008363373],"genre_scores_gemma":[0.9889276,0.002909752,0.003387518,0.00188549,0.0003809177,0.00001860852,0.00001865532,0.000057136,0.002414317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488863,"threshold_uncertainty_score":0.999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381688926159767,"score_gpt":0.1751420232404133,"score_spread":0.1613251339788157,"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."}}