{"id":"W1588358065","doi":"10.20381/ruor-25574","title":"Estimating the Benefit of High School for College-Bound Students","year":2010,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics education; Human capital; Instrumental variable; Estimator; Value (mathematics); Control (management); Order (exchange); Selection (genetic algorithm); Econometrics; Mathematics; Economics; Statistics; Computer science; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005647526,0.0001760725,0.000667243,0.0004746836,0.000466822,0.0000885982,0.002263088,0.0003783103,0.0003939295],"category_scores_gemma":[0.0008808527,0.000198858,0.0002713027,0.0003682391,0.0004424082,0.0001327901,0.001846519,0.001150761,0.00002596325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112866,"about_ca_system_score_gemma":0.0001868355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564459,"about_ca_topic_score_gemma":0.002137363,"domain_scores_codex":[0.9981287,0.00007633751,0.0004954217,0.0005760638,0.0003006684,0.0004228305],"domain_scores_gemma":[0.9968879,0.000561679,0.0007521129,0.00101742,0.0006418498,0.0001390926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002883827,0.0002362273,0.1220497,0.0006108324,0.000287532,0.000006121957,0.0003094722,0.0008029176,0.00002079173,0.8740937,0.0009584938,0.0005954068],"study_design_scores_gemma":[0.001363809,0.0001579888,0.247529,0.0001307614,0.00002891706,7.336452e-7,0.0004584456,0.02546736,0.00002340387,0.7145817,0.009917122,0.0003407625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803693,0.00007874142,0.004510306,0.001508714,0.0005588673,0.001077277,0.004887341,0.00001458118,0.006994911],"genre_scores_gemma":[0.9843886,0.00008649263,0.01068852,0.00001413378,0.0001105972,0.000006223341,0.00008771208,0.00002558323,0.004592152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.159512,"threshold_uncertainty_score":0.8109194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06488855207787005,"score_gpt":0.3110686919535813,"score_spread":0.2461801398757112,"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."}}