{"id":"W3124923424","doi":"","title":"Going to College and Finishing College.Explaining Different Educational Outcomes","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Falling (accident); College education; Incentive; Demographic economics; Community college; Psychology; Medical education; Educational attainment; Mathematics education; Economics; Labour economics; Political science; Medicine; Economic growth; History; Microeconomics","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":[0.001945498,0.0007152441,0.0008454086,0.002031393,0.0008593381,0.002581782,0.0008459997,0.001762827,0.02429958],"category_scores_gemma":[0.009488957,0.000336064,0.002073561,0.003464808,0.001637679,0.001377044,0.001815002,0.002887587,0.002746503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009221389,"about_ca_system_score_gemma":0.000951877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02845316,"about_ca_topic_score_gemma":0.02211555,"domain_scores_codex":[0.998816,0.0004175385,0.00007313537,0.0002564517,0.0001418468,0.0002950646],"domain_scores_gemma":[0.9885491,0.005855836,0.003050986,0.000624747,0.0003312609,0.001588078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002587153,0.0003957247,0.9205419,0.0002512385,0.0007307445,0.0002853214,0.0009468147,0.004592302,0.0002397382,0.02796879,0.005554754,0.03823402],"study_design_scores_gemma":[0.0000984638,0.0001973699,0.9071621,0.0001772888,0.0005625527,0.0001554623,0.001219291,0.006615624,0.0001746594,0.07503368,0.0085405,0.00006285879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360513,0.0109415,0.007477234,0.01530234,0.000619653,0.0001566876,0.008309377,0.000139346,0.02100258],"genre_scores_gemma":[0.9885303,0.001442358,0.0006690057,0.0003832575,0.000229156,0.00005646065,0.001813193,0.00002622731,0.006849922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02845316,"threshold_uncertainty_score":0.08129025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540240716896019,"score_gpt":0.4098856611837223,"score_spread":0.3444832540147621,"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."}}