{"id":"W3174530213","doi":"10.1002/jae.2877","title":"Dynamic treatment effects of job training","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Relevance (law); Economics; Discrete choice; Econometrics; Training (meteorology); Continuation; Computer science; Accounting","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":[0.0009292235,0.0001909087,0.001016847,0.0008639264,0.00004843611,0.00005842014,0.0002383997,0.0001265133,0.0001681805],"category_scores_gemma":[0.000350725,0.000199597,0.0003502947,0.001119398,0.00004290579,0.0001542963,0.00004926668,0.0001807486,0.00002492983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889241,"about_ca_system_score_gemma":0.0001310104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001060682,"about_ca_topic_score_gemma":0.000008807348,"domain_scores_codex":[0.9978563,0.00001563896,0.001511646,0.0002735211,0.0000645652,0.0002783993],"domain_scores_gemma":[0.9973915,0.0004324974,0.001578611,0.000324625,0.0001237379,0.0001490728],"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":[0.0001713098,0.001200806,0.03548357,0.0004954364,0.001408024,0.0002167017,0.002801302,0.001926044,0.0008106931,0.8789511,0.0000967254,0.07643827],"study_design_scores_gemma":[0.01234339,0.001832751,0.1886327,0.0001552852,0.000280452,0.0001851878,0.001612814,0.006237309,0.005576193,0.7337451,0.04775298,0.001645812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619614,0.003705931,0.005425387,0.0001592883,0.0008941266,0.0001221281,0.00008883153,0.000008139002,0.02763478],"genre_scores_gemma":[0.9922251,0.002242904,0.005074861,0.0001025335,0.0000849378,0.000004928782,0.000007210834,0.0000281239,0.000229408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1531492,"threshold_uncertainty_score":0.813933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140853435375063,"score_gpt":0.2273393093458169,"score_spread":0.1959307749920662,"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."}}