{"id":"W6901602856","doi":"10.6068/dp15305e8b22a53","title":"Trend 07/2007 - 07/2010. Bureau of Labor Statistics. National Compensation Survey [Archive]: Civilian Workers - Weekly Median Earnings | Country: USA | Industry: All workers | Occupation: All workers, 07/2007-07/2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-023-004.","year":2016,"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; Wages and salaries; Sample (material); Payment; Compensation of employees; Incentive; Quarter (Canadian coin)","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":[0.001646939,0.001629459,0.001424354,0.00375301,0.0008657773,0.002674869,0.002689169,0.001318609,0.1192027],"category_scores_gemma":[0.01193404,0.001196454,0.0009305855,0.01198937,0.0002312475,0.002276723,0.001613412,0.002404842,0.1484866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735274,"about_ca_system_score_gemma":0.005186743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1614144,"about_ca_topic_score_gemma":0.1324373,"domain_scores_codex":[0.9980751,0.0002284862,0.0002966327,0.0003749329,0.0006806477,0.0003441763],"domain_scores_gemma":[0.9909567,0.0008348364,0.0008582543,0.0006411079,0.006224652,0.0004844808],"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":[0.00001713833,0.000009861851,0.0007111838,0.0001090329,0.000006707642,0.000002937445,0.000008958225,0.00003842447,0.00001090329,0.0001710945,0.9978355,0.001078355],"study_design_scores_gemma":[0.0002133889,0.00002504085,0.02342262,0.0005039747,0.00003151156,0.00002103116,0.0002461845,0.0002215485,0.0001847051,0.0006317441,0.9744616,0.00003661745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008172436,0.00002093883,0.00003367275,0.00007148112,0.0000391165,0.00001931083,0.9986379,0.00006006721,0.001035778],"genre_scores_gemma":[0.0003831712,0.00005873353,0.0001794673,0.00008727634,0.00002206222,0.0001804666,0.9966066,0.00006200262,0.002420214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1614144,"threshold_uncertainty_score":0.3987728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07230891616204486,"score_gpt":0.3325583138663373,"score_spread":0.2602493977042925,"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."}}