{"id":"W3023686767","doi":"10.3386/w19546","title":"Affirmative Action: One Size Does Not Fit All","year":2013,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pennsylvania State University; Deutsche Forschungsgemeinschaft; York University; Yale University","keywords":"Affirmative action; Action (physics); Mathematics; Statistics; Political science; Physics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00398039,0.0001964215,0.0004007278,0.0003501943,0.0003832035,0.0002358685,0.0009605011,0.0005793542,0.002281964],"category_scores_gemma":[0.001378494,0.0001850982,0.0001769723,0.0001415404,0.0007414764,0.0002967287,0.0005094748,0.001069557,0.0004219939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722005,"about_ca_system_score_gemma":0.002621642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01142133,"about_ca_topic_score_gemma":0.004158816,"domain_scores_codex":[0.9963997,0.0005771978,0.000530642,0.0005492272,0.001417792,0.0005254193],"domain_scores_gemma":[0.9951165,0.002372604,0.000297724,0.0003230518,0.001692435,0.0001977197],"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":[0.00004976423,0.0002045186,0.001390904,0.0001442614,0.0003588718,9.581005e-7,0.009609595,0.002211228,0.0002543847,0.9691947,0.01578493,0.0007959224],"study_design_scores_gemma":[0.0003847569,0.00004299817,0.01073846,0.00006298673,0.00001651062,3.479869e-7,0.007279662,0.001897473,0.0001666429,0.9653787,0.01369719,0.0003342939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4351212,0.0001643157,0.00002567923,0.01778687,0.002041236,0.00153918,0.000408367,0.00006912575,0.5428441],"genre_scores_gemma":[0.978016,0.001524885,0.000997784,0.00014542,0.001379933,0.0001771378,0.0001213828,0.00002314068,0.01761439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5428947,"threshold_uncertainty_score":0.9986301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3963263960294268,"score_gpt":0.5108460063598309,"score_spread":0.1145196103304041,"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."}}