{"id":"W6976497272","doi":"10.6068/dp160858201353","title":"Trend 07/2007 - 07/2010. Bureau of Labor Statistics. National Compensation Survey [Archive]: Civilian Workers - Hourly Mean Earnings | Country: USA | Labor Metric: All workers | Industry: All workers | Occupation: Marriage and family therapists, 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; Wages and salaries; Sample (material); Incentive; Compensation of employees; Payment; Workers' compensation; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00687427,0.002488444,0.002993609,0.001189072,0.0005847969,0.001572024,0.006288075,0.002721806,0.02637975],"category_scores_gemma":[0.00110327,0.002501041,0.000008617254,0.0005430686,0.002314987,0.001595839,0.00164868,0.004026028,0.01183201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708249,"about_ca_system_score_gemma":0.001760917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6782181,"about_ca_topic_score_gemma":0.1581588,"domain_scores_codex":[0.9831631,0.003787231,0.00263992,0.003959788,0.004327831,0.002122179],"domain_scores_gemma":[0.9809327,0.005072978,0.005524511,0.006740028,0.0003162557,0.001413488],"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":[0.001996412,0.0004230579,0.02427429,0.0006121112,0.002892035,0.0002848655,0.00005174944,0.00005029075,0.00001879906,0.0003793307,0.9684861,0.0005309444],"study_design_scores_gemma":[0.00340381,0.0003396318,0.04495455,0.0004031339,0.001069105,0.00008856558,0.0003093783,0.001163551,8.094165e-8,0.000005352346,0.9458795,0.002383305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003417106,0.002989169,0.00008179625,0.00001856188,0.001964895,0.002325329,0.9849172,0.0003895576,0.007279349],"genre_scores_gemma":[0.0003523428,0.001912549,0.003506067,0.0003754637,0.0008753267,0.00008492409,0.9847198,0.00118516,0.006988369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5200593,"threshold_uncertainty_score":0.9994645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07890991328174765,"score_gpt":0.333275338805638,"score_spread":0.2543654255238904,"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."}}