{"id":"W6939443163","doi":"10.6068/dp15a5e16959f51","title":"Trend 07/2007 - 07/2010. Bureau of Labor Statistics. National Compensation Survey [Archive]: Civilian Workers - Hourly Mean Earnings | Country: USA | Labor Metric: Full time | Industry: All workers | Occupation: Mechanical drafters, 07/2007-07/2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-023-003.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Metropolitan area; Sample (material); Wages and salaries; Incentive; Compensation of employees; Payment; Quarter (Canadian coin); Workers' compensation","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":[0.001685206,0.001664392,0.001434154,0.003886892,0.0009202553,0.002937002,0.002785398,0.001391571,0.1311799],"category_scores_gemma":[0.01291399,0.001254133,0.0009356087,0.01291523,0.0002476547,0.0025418,0.001728907,0.002507718,0.1673494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002972126,"about_ca_system_score_gemma":0.005453137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1632176,"about_ca_topic_score_gemma":0.1335501,"domain_scores_codex":[0.9979582,0.0002477985,0.0003135368,0.0004016657,0.0007163307,0.0003624381],"domain_scores_gemma":[0.9900966,0.0009141333,0.0008659514,0.0006843451,0.00692732,0.0005116793],"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":[0.00001487664,0.000008791358,0.0006048618,0.00009072446,0.00000527601,0.000002736474,0.000008038006,0.00003257119,0.00000901212,0.000152549,0.9980863,0.0009841502],"study_design_scores_gemma":[0.0001822947,0.00002254422,0.01936326,0.0004939271,0.00002500327,0.00001863318,0.0002590518,0.0002035143,0.0001664765,0.0005876448,0.9786426,0.00003491534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007291696,0.00001996805,0.00003360175,0.00007817471,0.00004429771,0.00002014682,0.9985683,0.00006302222,0.001099555],"genre_scores_gemma":[0.000352687,0.00005663942,0.0001763025,0.00008991993,0.0000230482,0.0001866405,0.9966006,0.00006075983,0.002453406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1632176,"threshold_uncertainty_score":0.4388403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479035782954869,"score_gpt":0.3262630272831327,"score_spread":0.261472669453584,"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."}}