{"id":"W6901558234","doi":"10.6068/dp14ba7bbebc531","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Distribution of earnings, by sex, 2011 constant dollars | Variable: $10,000 to $14,999, Both sexes | Units: , 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Economic statistics; Distribution (mathematics); Wages and salaries; Official statistics; Summary statistics; Socioeconomic status; Personal income; Statistical analysis","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":[0.002031351,0.002299744,0.0025736,0.008150653,0.003032354,0.004606267,0.004815322,0.00145308,0.09604408],"category_scores_gemma":[0.0157411,0.001717098,0.001884112,0.03786056,0.0006100769,0.002382683,0.002041259,0.003157063,0.05740684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05336887,"about_ca_system_score_gemma":0.1299639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946586,"about_ca_topic_score_gemma":0.992599,"domain_scores_codex":[0.9959156,0.0002442982,0.000391221,0.0004748569,0.001981148,0.0009928936],"domain_scores_gemma":[0.9677221,0.001020379,0.0009557633,0.0008069293,0.02804141,0.001453416],"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":[0.0000218016,0.000006700988,0.0008905247,0.0002016546,0.0000168041,0.000005926157,0.00001754383,0.000103957,0.000008026444,0.0003695447,0.9966602,0.001697318],"study_design_scores_gemma":[0.0001425257,0.00001288301,0.0270918,0.0008060174,0.00005759129,0.00002640088,0.0004270037,0.0004755153,0.000179606,0.0006558792,0.9700333,0.00009131565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006059921,0.00006002724,0.00002695269,0.0001368582,0.00002931194,0.00001551033,0.998535,0.0000653082,0.001070473],"genre_scores_gemma":[0.001045435,0.0003682999,0.0004209702,0.0001813381,0.00002177216,0.0001193055,0.9919174,0.000129919,0.00579553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09604408,"threshold_uncertainty_score":0.38722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236215231243189,"score_gpt":0.2148735397761009,"score_spread":0.202511387463669,"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."}}