{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002514101,0.0002375716,0.0005011494,0.0005667406,0.0007896431,0.0003403476,0.0005585584,0.0003381818,0.0001491538],"category_scores_gemma":[0.001962802,0.0002565787,0.0001031321,0.0001918092,0.000260796,0.0001268471,0.0006172874,0.0008734888,0.00002603169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405866,"about_ca_system_score_gemma":0.003926035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006601,"about_ca_topic_score_gemma":0.0102353,"domain_scores_codex":[0.9971156,0.00046688,0.000596324,0.000687737,0.0003930218,0.0007404613],"domain_scores_gemma":[0.9968867,0.001905586,0.00017373,0.0004376729,0.0001345368,0.0004618284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004432553,0.0003295502,0.5339447,0.000321261,0.0001533042,0.0000104084,0.1141234,0.002301384,0.00001814871,0.329321,0.001776797,0.01765567],"study_design_scores_gemma":[0.001383067,0.0001218456,0.4103701,0.001882503,0.00001887875,0.000008899142,0.1465574,0.0002690124,0.00002215215,0.03197201,0.4058163,0.001577885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344632,0.00007614419,6.008683e-7,0.01613822,0.001105668,0.000949028,0.0001753101,0.00002402418,0.1470678],"genre_scores_gemma":[0.9836072,0.001163788,0.000419454,0.0003206414,0.0008718641,0.0004329893,0.00002216868,0.00003561701,0.01312627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4040395,"threshold_uncertainty_score":0.9999886,"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."}}