{"id":"W7098063071","doi":"","title":"WORKING PAPER NO. 70 Incentive effects of social assistance: A regression discontinuity approach *","year":2004,"lang":"en","type":"article","venue":"","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression discontinuity design; Incentive; Flexibility (engineering); Affect (linguistics); Estimator; Discontinuity (linguistics); Difference in differences; Regression analysis; Omitted-variable bias","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":[0.01549507,0.0004874179,0.001574652,0.002325025,0.001058816,0.002419845,0.003597311,0.002228662,0.02025777],"category_scores_gemma":[0.04286942,0.0006528844,0.001889511,0.004320668,0.000868506,0.001162906,0.002015018,0.002421475,0.001731199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514079,"about_ca_system_score_gemma":0.002072942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05464757,"about_ca_topic_score_gemma":0.02864032,"domain_scores_codex":[0.9926698,0.005661107,0.000241119,0.0004134656,0.0005432027,0.0004712856],"domain_scores_gemma":[0.958083,0.03169033,0.005402554,0.002200198,0.001731516,0.0008923534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001487283,0.001310193,0.4515454,0.0007709009,0.003261471,0.001609579,0.002147111,0.07311997,0.000578064,0.2139995,0.1115082,0.1386623],"study_design_scores_gemma":[0.001596514,0.001481028,0.4729451,0.001167379,0.003618506,0.0007762025,0.004979793,0.2775929,0.002489213,0.1063384,0.1267584,0.0002564893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6965657,0.009037496,0.1313538,0.01891314,0.001346687,0.002350301,0.05345917,0.0006667696,0.08630701],"genre_scores_gemma":[0.922732,0.00258484,0.02378612,0.001452429,0.0005341725,0.001609961,0.01461444,0.000145137,0.03254093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05464757,"threshold_uncertainty_score":0.108659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560323433747264,"score_gpt":0.277874964188209,"score_spread":0.2622717298507364,"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."}}