{"id":"W6910086783","doi":"10.3886/e170261v1","title":"Data and Code for: Labor Market Responses to Unemployment Insurance: The Role of Heterogeneity","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Unemployment; Receipt; Matching (statistics); Incentive; Scope (computer science); Differential (mechanical device)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.006033352,0.0007579808,0.0010136,0.0004465298,0.0003089898,0.0003424115,0.01171624,0.0003481381,0.00004605103],"category_scores_gemma":[0.005888355,0.0006151847,0.00007256338,0.001036497,0.0004312708,0.0007269511,0.01649427,0.0005116261,0.0008444764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060399,"about_ca_system_score_gemma":0.0002992829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213751,"about_ca_topic_score_gemma":0.01011862,"domain_scores_codex":[0.9941659,0.0004609031,0.001012865,0.002396201,0.001112959,0.0008511575],"domain_scores_gemma":[0.9798517,0.001928008,0.0007925666,0.01691908,0.000221786,0.0002868184],"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":[0.001594405,0.0001167768,0.001829737,0.000325877,0.0003863607,0.00001423193,0.00003259664,0.000001934385,0.000768635,0.000006818348,0.9942426,0.0006799957],"study_design_scores_gemma":[0.0007252903,0.0001398359,0.006265046,0.0003742148,0.0003941424,0.00002003239,0.000112852,0.0002163985,0.0005111747,0.00006806325,0.9905422,0.0006307723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02350809,0.002210036,0.000003413361,0.0004801106,0.000400328,0.002102831,0.9711301,0.0001609746,0.000004104164],"genre_scores_gemma":[0.0003144027,0.001816769,0.0004945128,0.0004230881,0.0002819493,0.000256563,0.9960164,0.0002653152,0.0001309378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02488635,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09345726339994374,"score_gpt":0.368101731073611,"score_spread":0.2746444676736672,"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."}}