{"id":"W6901367629","doi":"10.6068/dp14ba86d544d8","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average weekly earnings by enterprise size of employment (SEPH) for all employees, including overtime, for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Real estate and rental and leasing, 300 and more employees | Units: Current $CAD, 2001-2012. 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; Economic statistics; Summary statistics; Wages and salaries; Official statistics; Socioeconomic status; Renting; Descriptive statistics","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":[0.001686124,0.002578349,0.002728961,0.00769272,0.002724354,0.004540787,0.005245314,0.001506819,0.07197909],"category_scores_gemma":[0.01479964,0.001683149,0.001937418,0.03786035,0.0005713037,0.002239739,0.001970372,0.00319981,0.0519169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04139445,"about_ca_system_score_gemma":0.09635197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992792,"about_ca_topic_score_gemma":0.9909752,"domain_scores_codex":[0.9964909,0.0002090054,0.0003571505,0.0005028192,0.001554141,0.0008859613],"domain_scores_gemma":[0.968952,0.001066222,0.00111493,0.0008604268,0.0266402,0.001366248],"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":[0.0000285393,0.000008114546,0.001268275,0.0001966717,0.0000215548,0.000006346547,0.00001548716,0.0001204693,0.000008512419,0.000244129,0.9967678,0.001314218],"study_design_scores_gemma":[0.0002583609,0.00001735014,0.03889942,0.0009048366,0.00007729199,0.00003059613,0.0004771704,0.0007313752,0.0002500993,0.0006516663,0.9575943,0.0001074942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000585572,0.00003627459,0.00001488598,0.00008096654,0.00001912239,0.000009468154,0.9992354,0.00004678799,0.0004984763],"genre_scores_gemma":[0.0006519274,0.0001577931,0.0001938709,0.00009339751,0.00001382731,0.00006886983,0.9962749,0.00006504831,0.002480367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07197909,"threshold_uncertainty_score":0.3003391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04557956740248377,"score_gpt":0.2854140666039617,"score_spread":0.239834499201478,"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."}}