{"id":"W2141341055","doi":"","title":"The Causal Effect of High School Employment on Educational Attainment in Canada","year":2002,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Graduation (instrument); Estimation; School dropout; Demographic economics; Educational attainment; Percentage point; Humanities; Econometrics; Demography; Political science; Psychology; Economics; Sociology; Statistics; Mathematics; Philosophy; Law; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241645,0.0002241042,0.0004347119,0.001282647,0.002618586,0.001983638,0.000923288,0.0004429099,0.007903537],"category_scores_gemma":[0.007392366,0.0002234807,0.0007130689,0.002833334,0.00104694,0.0004708035,0.001154496,0.0009803594,0.0002590619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02713461,"about_ca_system_score_gemma":0.05970776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972515,"about_ca_topic_score_gemma":0.9978335,"domain_scores_codex":[0.9991699,0.0001143665,0.00004405053,0.0001315972,0.0001759655,0.0003641215],"domain_scores_gemma":[0.9946594,0.001924807,0.0008750259,0.0002231185,0.001493885,0.0008236878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001502316,0.00004113653,0.9774173,0.00008797438,0.000134374,0.0001496079,0.001546689,0.001561756,0.0001745287,0.003180379,0.002045419,0.01351058],"study_design_scores_gemma":[0.00001711735,0.00002288227,0.9906769,0.0001231028,0.0001378186,0.00002332929,0.002669729,0.001846592,0.0001789755,0.0004801313,0.003808032,0.00001548637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981575,0.001733278,0.0005685361,0.002312639,0.00004140575,0.00004006479,0.003821742,0.00003375303,0.009873437],"genre_scores_gemma":[0.9929631,0.0008463875,0.0002092354,0.00009561059,0.000008465465,0.00001172361,0.0006877984,0.000008339538,0.005169217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02713461,"threshold_uncertainty_score":0.1968763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267236155108799,"score_gpt":0.2529172742217026,"score_spread":0.2402449126706147,"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."}}