{"id":"W2419837394","doi":"10.1016/j.ssresearch.2016.06.013","title":"Do legal school leaving rules still affect schooling and earnings?","year":2016,"lang":"en","type":"article","venue":"Social Science Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Affect (linguistics); Earnings; Demographic economics; Psychology; Economics; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01285224,0.0001054927,0.0002282862,0.0004222003,0.001079467,0.0006796966,0.0005279115,0.00009024864,0.000242952],"category_scores_gemma":[0.004694406,0.00008694387,0.00005541038,0.0009746104,0.001098583,0.0009060201,0.0004284428,0.0003695759,0.0003170089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995319,"about_ca_system_score_gemma":0.0002044106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007759394,"about_ca_topic_score_gemma":0.00001903217,"domain_scores_codex":[0.9978127,0.0001012627,0.0003008707,0.0006332526,0.0002945232,0.0008573851],"domain_scores_gemma":[0.9989072,0.0002832385,0.00011447,0.0002239781,0.0002030684,0.0002680313],"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":[0.00001457411,0.00002130033,0.2796609,0.00001545498,0.000007014432,0.000004904245,0.0003316459,3.331239e-7,0.001840503,0.7018591,0.00009198532,0.0161523],"study_design_scores_gemma":[0.0005115381,0.00008072775,0.785929,0.00006163934,0.000001392006,0.000002507811,0.0003513633,0.0002286722,0.0001299296,0.1938192,0.0185546,0.0003295061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629636,0.0003570855,0.0004428144,0.001651991,0.000161396,0.0001540312,0.00004766398,0.00002993776,0.03419152],"genre_scores_gemma":[0.9981607,0.0003089134,0.0001919835,0.00003214261,0.0002890718,0.00001346179,5.419218e-7,0.00001354903,0.0009896358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.50804,"threshold_uncertainty_score":0.83025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07365250946266348,"score_gpt":0.3613982982790046,"score_spread":0.2877457888163411,"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."}}