{"id":"W6926664221","doi":"10.25384/sage.c.6930390","title":"Who Profits from Occupational Licensing?","year":2023,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Infectious Disease Case Reports and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Wage; Occupational licensing; Quantile regression; Quarter (Canadian coin); Economic shortage; Profit (economics); Inequality","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":[0.002384745,0.0001082093,0.0004965968,0.001021731,0.00133971,0.00271787,0.0006514533,0.001041406,0.0141167],"category_scores_gemma":[0.01175819,0.0001280418,0.000502258,0.0009857297,0.003192575,0.002956268,0.001949271,0.001605001,0.00117195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664038,"about_ca_system_score_gemma":0.001646943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008969728,"about_ca_topic_score_gemma":0.01395695,"domain_scores_codex":[0.9977567,0.0005263725,0.0000808552,0.000191394,0.0003677059,0.001077118],"domain_scores_gemma":[0.9932689,0.002395843,0.001849227,0.000380249,0.0003068626,0.001798842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000311324,0.0005286101,0.7545511,0.0001366305,0.00009485034,0.0005209615,0.004671884,0.0004159202,0.000312832,0.07666741,0.02234446,0.1394441],"study_design_scores_gemma":[0.0001010036,0.0002705814,0.7979424,0.0007407884,0.0001486673,0.001065345,0.03434348,0.001948716,0.000922649,0.09442519,0.06803329,0.00005801744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8281831,0.006233373,0.0009991705,0.08828218,0.0002486968,0.00004492467,0.0007116583,0.00002944557,0.07526743],"genre_scores_gemma":[0.9947408,0.0006696015,0.00005123895,0.0018397,0.0001606662,0.000006340476,0.00007070362,0.000005885271,0.002455145],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0141167,"threshold_uncertainty_score":0.04722506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768167563357032,"score_gpt":0.3719396680778485,"score_spread":0.2951229117421453,"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."}}