{"id":"W7103606546","doi":"","title":"Texas Quarterly Census of Employment and Wages by Industry and County: First Quarter 2009","year":2009,"lang":"en","type":"report","venue":"The Portal to Texas History (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Payroll; Quarter (Canadian coin); Wages and salaries; Payroll tax; Payment","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":[0.0003024761,0.0004917771,0.0003328228,0.002202632,0.0004513459,0.0009133322,0.000674319,0.000274908,0.01679996],"category_scores_gemma":[0.001582288,0.0002563638,0.0001905824,0.00491437,0.0001084179,0.0006305631,0.0004952751,0.0008420355,0.01524194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021308,"about_ca_system_score_gemma":0.00404192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1396263,"about_ca_topic_score_gemma":0.160906,"domain_scores_codex":[0.9996996,0.00002097411,0.00002583634,0.00004355036,0.0001542973,0.00005574113],"domain_scores_gemma":[0.9988084,0.00007100736,0.0001796956,0.00005259797,0.0008002862,0.00008808845],"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":[0.00003335233,0.00003356308,0.00627378,0.0001063816,0.00001248099,0.00001830426,0.00004964291,0.0001692981,0.00007244379,0.0009315076,0.9852856,0.007013704],"study_design_scores_gemma":[0.00009319533,0.00005270907,0.2076585,0.0002937558,0.00004721018,0.00009119392,0.0006765223,0.001038291,0.0005160034,0.0005579239,0.7889438,0.00003087518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01018981,0.0003239159,0.0004350742,0.0006718541,0.0002268315,0.0001351597,0.9682966,0.0002850675,0.01943577],"genre_scores_gemma":[0.03517919,0.002687935,0.002197277,0.0006557016,0.0002024206,0.0006601523,0.8930202,0.0001538633,0.06524334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1396263,"threshold_uncertainty_score":0.2776271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134742402425167,"score_gpt":0.2191909311484729,"score_spread":0.1978435071242212,"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."}}