{"id":"W6928771284","doi":"10.3886/e183449v1","title":"ECIN Replication Package for \"Optimal Unemployment Policy\"","year":2022,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Unemployment; Replicate; Replication (statistics); Variety (cybernetics); Consumption (sociology); Consumption smoothing; Code (set theory); Data file","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005176063,0.0003621398,0.000501503,0.0004090659,0.0003206841,0.00006680615,0.0004462241,0.0002173816,0.006262325],"category_scores_gemma":[0.00059439,0.000336493,0.0001499314,0.0003796408,0.0000631407,0.0001771326,0.0008183487,0.0004002546,0.0001107565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441524,"about_ca_system_score_gemma":0.0003896058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718917,"about_ca_topic_score_gemma":0.00004659496,"domain_scores_codex":[0.9974647,0.0000326418,0.0004571755,0.001199046,0.0004349858,0.0004114736],"domain_scores_gemma":[0.9934059,0.00009693319,0.0003231638,0.005911581,0.00007992865,0.000182538],"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":[0.0001008427,0.0005077534,0.0002022763,0.00019378,0.0003036134,0.0000467211,0.00001129554,8.854575e-7,0.00001999389,0.00005518332,0.99446,0.004097671],"study_design_scores_gemma":[0.00171516,0.0006199696,0.0002674545,0.00006750659,0.0008933655,0.0001537949,0.00001957104,0.00001989285,0.00006125663,0.00002010821,0.9959011,0.0002608154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007490847,0.000217697,0.00008114264,0.001286682,0.0004557668,0.00163722,0.9953614,0.00009766452,0.0001133114],"genre_scores_gemma":[0.0001089349,0.0009716557,0.0006942246,0.0009321828,0.0009202482,0.000667553,0.9939419,0.00006403225,0.001699278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006151569,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0682155642086218,"score_gpt":0.3807386443706779,"score_spread":0.3125230801620562,"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."}}