{"id":"W2171133954","doi":"10.1177/002795010300100112","title":"Evaluation Using Random Assignment Experiments: Demonstrating the Effectiveness of Earnings Supplements","year":2003,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receipt; Earnings; Random assignment; Welfare; Payment; Work (physics); Economics; Public economics; Quality (philosophy); Labour economics; Actuarial science; Demographic economics; Accounting; Statistics; Finance; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01413197,0.00009360359,0.000214209,0.0000352418,0.0003755366,0.00003240338,0.0001538158,0.00004182141,0.0002567408],"category_scores_gemma":[0.001138701,0.00007826178,0.0001039435,0.0001086843,0.0001462014,0.0003174717,0.00001479439,0.00006797093,0.00001388156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008635322,"about_ca_system_score_gemma":0.001347589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207402,"about_ca_topic_score_gemma":0.00007721846,"domain_scores_codex":[0.9972241,0.001519625,0.0004033456,0.000176723,0.0005328014,0.0001434101],"domain_scores_gemma":[0.9990113,0.0003011362,0.0002773546,0.00009640297,0.0002771499,0.00003669334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003322588,0.000223252,0.0334551,0.0008680393,0.0006240993,7.461148e-7,0.002592117,0.04176084,0.0009616544,0.910966,0.0006929216,0.007822031],"study_design_scores_gemma":[0.01631271,0.0001781839,0.04680232,0.009184781,0.002039612,0.00002190206,0.00877493,0.03917331,0.001575082,0.04342647,0.8305025,0.002008227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6260572,0.07604169,0.01659571,0.0005789588,0.004304555,0.008361294,0.00007840493,0.00004958841,0.2679326],"genre_scores_gemma":[0.9931144,0.005640337,0.0008083918,0.0001929165,0.00006618315,0.0001213917,0.00002691186,0.000006064026,0.00002347398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8675395,"threshold_uncertainty_score":0.4897887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09711467474454152,"score_gpt":0.3971232903705754,"score_spread":0.3000086156260339,"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."}}