{"id":"W1550993780","doi":"10.1016/s1574-0692(06)01007-5","title":"Chapter 7 Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond","year":2006,"lang":"en","type":"book-chapter","venue":"Handbook of the economics of education","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":315,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Econometrics; Earnings; Economics; Rate of return; Ex-ante; Panel data; Contrast (vision); Actuarial science; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020289,0.0001961202,0.000329253,0.0001975789,0.0001161805,0.00004728483,0.0001115466,0.00009423246,0.00008911398],"category_scores_gemma":[0.00004105972,0.0001361934,0.0001311775,0.00002948952,0.0001634045,0.0002674856,0.00007948,0.00006268147,0.000005568488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114339,"about_ca_system_score_gemma":0.00004984539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005259567,"about_ca_topic_score_gemma":0.0002435926,"domain_scores_codex":[0.9991852,0.000007575623,0.0004437,0.0002112647,0.00007669584,0.00007555607],"domain_scores_gemma":[0.9981319,0.0001090881,0.001272125,0.0002919741,0.0001887136,0.000006142237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005196876,0.0004849427,0.5800271,0.002540344,0.0008104516,2.978068e-7,0.001955013,0.0003048,0.003406704,0.3127006,0.01359386,0.08365615],"study_design_scores_gemma":[0.004316816,0.000623897,0.3254044,0.00782832,0.009808046,0.000006407171,0.000765969,0.01056506,0.01507656,0.2040763,0.4191348,0.002393457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948657,0.005243626,0.00002114091,0.0005057968,0.0007231499,0.0009632125,0.0000194503,0.000009019938,0.0438576],"genre_scores_gemma":[0.9060276,0.001987216,0.0002069762,0.0002904341,0.0009209992,0.00004236566,0.0002556687,0.00006380984,0.09020498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055409,"threshold_uncertainty_score":0.5553806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130124018964248,"score_gpt":0.2039188379089266,"score_spread":0.1909064360125018,"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."}}