{"id":"W1491659075","doi":"10.19030/jabr.v31i4.9340","title":"Financing Human Capital Development By Increasing The Minimum Wage: Evidence From Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Minimum wage; Subsidy; Human capital; Economics; Labour economics; Poverty; Wage; Government (linguistics); Revenue; Empirical evidence; Work (physics); Index (typography); Tax revenue; Living wage; Public economics; Finance; Economic growth","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":[0.004552479,0.0001878525,0.0004994266,0.000256997,0.0004179367,0.0002469399,0.0008838375,0.0001020731,0.00007661001],"category_scores_gemma":[0.001026545,0.0001584254,0.00005578341,0.0004886957,0.0001632278,0.0004187477,0.0002568488,0.0006937517,0.00009650189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142749,"about_ca_system_score_gemma":0.001930166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2917595,"about_ca_topic_score_gemma":0.03436941,"domain_scores_codex":[0.9976024,0.00005586433,0.001128629,0.0003081262,0.0002985311,0.0006064184],"domain_scores_gemma":[0.9979824,0.0004373547,0.0006297475,0.0003236339,0.000337165,0.0002896961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002668041,0.000915465,0.1464267,0.0004200219,0.001108037,0.0004040494,0.02287366,0.001670637,0.01148639,0.08912664,0.7060323,0.01686805],"study_design_scores_gemma":[0.004034735,0.0001966595,0.5573733,0.0005931812,0.00002668398,0.00008363649,0.004783294,0.0006588931,0.007940848,0.1502792,0.272664,0.001365589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834955,0.001821671,0.0001554464,0.0024818,0.0003295006,0.0001661696,0.00003669561,0.000005744962,0.01150752],"genre_scores_gemma":[0.9983402,0.00005420813,0.0005557738,0.0002359573,0.0006267647,0.00001310988,0.000008942769,0.00002863712,0.0001363569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333683,"threshold_uncertainty_score":0.9832509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134272572688178,"score_gpt":0.2886567588812782,"score_spread":0.1752295016124604,"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."}}