{"id":"W2065805300","doi":"10.1177/0193841x06293411","title":"Does Receiving an Earnings Supplement Affect Union Formation? Estimating Effects for Program Participants Using Propensity Score Matching","year":2006,"lang":"en","type":"article","venue":"Evaluation Review","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Propensity score matching; Receipt; Earnings; Matching (statistics); Disadvantaged; Affect (linguistics); Context (archaeology); Demographic economics; Random assignment; Average treatment effect; Psychology; Economics; Econometrics; Medicine; Accounting; Economic growth; Geography","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":[0.03367358,0.0003901562,0.001078848,0.001004235,0.0004759183,0.0007021778,0.0008597038,0.0008422233,0.001620309],"category_scores_gemma":[0.05746154,0.0002483949,0.001926006,0.001495438,0.0008642268,0.0005302378,0.0007826366,0.0005979856,0.0001572727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000924852,"about_ca_system_score_gemma":0.002122982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535473,"about_ca_topic_score_gemma":0.01051958,"domain_scores_codex":[0.9675215,0.02801709,0.001020815,0.001258268,0.001791087,0.0003911439],"domain_scores_gemma":[0.9641833,0.02845583,0.004727402,0.001988422,0.0004946372,0.0001504467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005797499,0.002871907,0.6071601,0.001770656,0.01220531,0.0001352757,0.001907552,0.009074802,0.001711087,0.008011852,0.001064167,0.3482898],"study_design_scores_gemma":[0.002186168,0.01480872,0.9059773,0.0006477064,0.01994106,0.0001541648,0.001956835,0.02601187,0.006915826,0.01191729,0.009380723,0.0001022747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464853,0.003430493,0.04423454,0.001025286,0.0000854004,0.001441141,0.0006842465,0.0000678288,0.0025457],"genre_scores_gemma":[0.9821326,0.0009646598,0.01528451,0.0001868668,0.00002726828,0.0006421696,0.0002166104,0.000006058939,0.0005393009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03367358,"threshold_uncertainty_score":0.1780851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13375186684759,"score_gpt":0.4296849130186229,"score_spread":0.295933046171033,"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."}}