{"id":"W2568924698","doi":"","title":"Long Term Educational Attainment of Private High School Students in Québec: Estimates of Treatment Effects from Longitudinal Data","year":2016,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Educational attainment; Demographic economics; Panel data; Subsidy; Fixed effects model; Average treatment effect; Longitudinal study; Attendance; Matching (statistics); Selection bias; Omitted-variable bias; Government (linguistics); Statistic; Economics; Econometrics; Demography; Estimator; Psychology; Statistics; Economic growth; Sociology; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007729479,0.0004686466,0.0009652465,0.0003069131,0.0001928002,0.00008958228,0.00197676,0.0003555352,0.002152097],"category_scores_gemma":[0.0005290566,0.0004160339,0.0001730348,0.0001403254,0.0007175415,0.0003954064,0.0009634318,0.0003607085,0.0001734611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266888,"about_ca_system_score_gemma":0.004874873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06688131,"about_ca_topic_score_gemma":0.07928684,"domain_scores_codex":[0.9966162,0.0002522571,0.0009707493,0.0009857174,0.0006728743,0.0005022135],"domain_scores_gemma":[0.9958716,0.001302359,0.0009581462,0.001457951,0.0001238953,0.0002860292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006104653,0.000512764,0.9955199,0.0001723041,0.0003855526,0.000007799103,0.001063688,0.00001848428,0.0000845367,0.0001818765,0.000749552,0.001242514],"study_design_scores_gemma":[0.001191893,0.0001057065,0.9947783,0.001411476,0.0001635477,0.000001284852,0.00008589884,0.00001018775,0.0006322616,0.0008786198,0.0003465219,0.0003942541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914746,0.002658455,0.00002464777,0.0007306944,0.00224826,0.001026861,0.0008549574,0.00003493875,0.0009465939],"genre_scores_gemma":[0.9964868,0.0007178186,0.0007451209,0.00003616784,0.00103122,0.0001890246,0.0003012693,0.00003055817,0.0004620116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01240553,"threshold_uncertainty_score":0.9998292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212783766786054,"score_gpt":0.3430266950072332,"score_spread":0.3108988573393727,"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."}}