{"id":"W7126350348","doi":"","title":"Essays on empirical microeconomics","year":2021,"lang":"en","type":"other","venue":"OpenBU (Boston University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Unemployment; Stock market; Salient; Empirical research; Politics; Empirical evidence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001158957,0.0005811144,0.0007421041,0.001996625,0.0001297479,0.00009718904,0.001076038,0.0007185274,0.04124428],"category_scores_gemma":[0.00002579368,0.0007355295,0.0003079727,0.000984324,0.0002063294,0.00009123739,0.0005439209,0.0006248924,0.02190243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009358902,"about_ca_system_score_gemma":0.0004497838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002746433,"about_ca_topic_score_gemma":0.001032387,"domain_scores_codex":[0.9977552,0.0002204812,0.0001802964,0.001084649,0.0002320225,0.0005273532],"domain_scores_gemma":[0.998129,0.00006629044,0.0003304662,0.001126231,0.00005738533,0.0002906192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009437206,0.0001827833,0.0002669598,0.000034545,0.0002471682,0.000954184,0.00004425713,0.00001050423,0.0002065823,0.00877889,0.988858,0.0003217546],"study_design_scores_gemma":[0.001099038,0.00006660682,0.00006030312,0.0002778659,0.0001308941,0.00001548506,0.0001709392,0.000005847197,0.0002392113,0.00001323059,0.9971573,0.0007632601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005329786,0.0001737699,0.00001846581,0.000201019,0.0005571838,0.0004233866,0.0006865326,0.0003291458,0.9970775],"genre_scores_gemma":[0.0001329956,0.0001789912,0.0005929938,0.000378558,0.0002387612,0.000001006506,0.0005558106,0.001194595,0.9967263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01934185,"threshold_uncertainty_score":0.9995096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548806135579689,"score_gpt":0.2587743386631383,"score_spread":0.2232862773073414,"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."}}