{"id":"W6901592500","doi":"10.6068/dp14ba8b44f7611","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour force survey estimates (LFS), wages of employees by type of work, North American Industry Classification System (NAICS), sex and age group | Variable: 25 to 54 years, Agriculture, Both sexes, Total employees, Average hourly wage rate | Units: Current $CAD, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Wages and salaries; Economic statistics; Wage; Summary statistics; Socioeconomic status; Official statistics; Immigration","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":[0.002107428,0.002524356,0.002957564,0.007814321,0.002908592,0.004601748,0.005478628,0.001517769,0.09150134],"category_scores_gemma":[0.01669872,0.001881116,0.002092551,0.0403785,0.0005785564,0.002304134,0.002166364,0.003343444,0.0585638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04707948,"about_ca_system_score_gemma":0.1162827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938985,"about_ca_topic_score_gemma":0.9919974,"domain_scores_codex":[0.9958333,0.0002743543,0.0004537989,0.0005224567,0.001914831,0.001001221],"domain_scores_gemma":[0.9662737,0.00119896,0.001083487,0.0008775123,0.02902797,0.001538523],"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":[0.0000278892,0.000007949734,0.0009769298,0.0002314968,0.00002114096,0.000005663782,0.0000178832,0.00009776012,0.000007775864,0.0002548338,0.9968183,0.001532468],"study_design_scores_gemma":[0.000273216,0.00001766891,0.03335911,0.001074794,0.00008515475,0.00002898776,0.0005141607,0.0005457976,0.0002004901,0.0007247392,0.9630728,0.0001031266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005456173,0.00004516472,0.00001991189,0.0001031211,0.00002646242,0.00001484608,0.9989539,0.00005356124,0.0007284092],"genre_scores_gemma":[0.0007143749,0.0002352342,0.0002962495,0.0001554326,0.00001800959,0.0001167279,0.9946095,0.00009599359,0.003758495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09150134,"threshold_uncertainty_score":0.3415871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616542080696293,"score_gpt":0.2513537319627052,"score_spread":0.2251883111557423,"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."}}