{"id":"W7015656031","doi":"","title":"Texas Quarterly Census of Employment and Wages by Industry and County: First Quarter 2006","year":2006,"lang":"en","type":"report","venue":"The Portal to Texas History (University of North Texas)","topic":"Economic, Social, and Health Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Payroll; Quarter (Canadian coin); Wages and salaries; Payroll tax","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":[0.0004596276,0.0005708509,0.0004134266,0.002837262,0.0004546027,0.0008941751,0.0006070119,0.000291292,0.01498914],"category_scores_gemma":[0.002172002,0.0002821997,0.000192557,0.005548341,0.0001082527,0.0005914298,0.0004742438,0.0009924528,0.01315938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818467,"about_ca_system_score_gemma":0.00436488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1102609,"about_ca_topic_score_gemma":0.1132693,"domain_scores_codex":[0.9996279,0.0000312875,0.00003562155,0.0000462465,0.0002004556,0.00005841736],"domain_scores_gemma":[0.9980691,0.0001147918,0.0002826043,0.00008173018,0.00132969,0.0001221117],"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":[0.00002969129,0.00003335627,0.005676664,0.0001278689,0.00001331559,0.00001552059,0.00005089126,0.0002160663,0.00005305563,0.0009026384,0.9846947,0.0081863],"study_design_scores_gemma":[0.0000875532,0.00006023517,0.1734272,0.0003473593,0.00004727161,0.00009117725,0.0005723889,0.00104932,0.000389515,0.0005894101,0.8233104,0.00002826099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008656239,0.0004487206,0.0005393903,0.0007062116,0.0002839453,0.0001932247,0.9705839,0.0003266291,0.01826171],"genre_scores_gemma":[0.0236792,0.003084461,0.002691221,0.0006120809,0.0002271544,0.0007521114,0.9243889,0.000123732,0.04444121],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1102609,"threshold_uncertainty_score":0.2192382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420600647432264,"score_gpt":0.2147204298817733,"score_spread":0.1805144234074506,"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."}}