{"id":"W7097096854","doi":"","title":"WYOMING LABOR FORCE TRENDS","year":2012,"lang":"en","type":"article","venue":"","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Salary; Unemployment; Quarter (Canadian coin); Wage; Revenue; Wages and salaries; Table (database)","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":[0.0002924479,0.0002467609,0.0001359462,0.002041173,0.000970288,0.0007634716,0.0003803884,0.0002899067,0.01451409],"category_scores_gemma":[0.0008939012,0.0001790613,0.000187062,0.003342067,0.0001248739,0.0005848266,0.0005578027,0.0005996924,0.003106828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165873,"about_ca_system_score_gemma":0.002431883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4949577,"about_ca_topic_score_gemma":0.7656573,"domain_scores_codex":[0.9996618,0.00002671902,0.00003028727,0.00007170402,0.000105903,0.0001035158],"domain_scores_gemma":[0.9994072,0.00004142286,0.0001449783,0.00002243141,0.0002947033,0.00008920016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461092,0.00009567503,0.4892339,0.0006895563,0.0001242589,0.0002254801,0.002366468,0.0003696724,0.002664998,0.005490502,0.3877018,0.1108916],"study_design_scores_gemma":[0.000005616565,0.00001864873,0.6994707,0.000232868,0.00002112159,0.0001003826,0.001292652,0.0001758388,0.00032374,0.0001369379,0.2982085,0.00001294061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3711109,0.008721296,0.001915377,0.01018978,0.0004670553,0.0002830862,0.4611342,0.00033601,0.1458424],"genre_scores_gemma":[0.5119319,0.01349702,0.004446235,0.004205949,0.0001980949,0.0007136917,0.2913273,0.0001285522,0.1735512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4949577,"threshold_uncertainty_score":0.9841534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081217843868965,"score_gpt":0.2133673721073879,"score_spread":0.1825551936686983,"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."}}