{"id":"W6957596791","doi":"10.6068/dp14ba8e022aa54","title":"Trend 2001 - 2008. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average weekly earnings (SEPH), by type of employee for selected industries classified using the North American Industry Classification System (NAICS) | Variable: All employees, Home entertainment equipment and household appliance merchant wholesalers, Including overtime | Units: Current $CAD, 2001-2008. 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; Overtime; Census; Economic statistics; Wages and salaries; Summary statistics; Official statistics; Socioeconomic status; 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":[0.001790108,0.002551113,0.002637784,0.007842595,0.002700379,0.004240926,0.005163293,0.001406026,0.06773271],"category_scores_gemma":[0.01393204,0.001682712,0.001876069,0.03649692,0.0005502126,0.002136655,0.001908056,0.003198077,0.0488554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04150537,"about_ca_system_score_gemma":0.09904876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992835,"about_ca_topic_score_gemma":0.9907295,"domain_scores_codex":[0.9964042,0.0002086507,0.0003598846,0.0004922055,0.001640986,0.0008941325],"domain_scores_gemma":[0.9693647,0.0009632349,0.001083235,0.0007912021,0.02649959,0.001298031],"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":[0.00003025296,0.00000838655,0.001310247,0.0001925121,0.00002051082,0.000006658755,0.00001593547,0.0001156852,0.000008882512,0.0002422797,0.9966694,0.001379336],"study_design_scores_gemma":[0.0002433219,0.00001915982,0.04247099,0.0008685964,0.00007412361,0.00003110881,0.0004787778,0.0006518056,0.0002443313,0.0005628677,0.9542547,0.0001002122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006910133,0.00003784177,0.00001562465,0.00008614287,0.00002149216,0.00001044715,0.9991435,0.00004719272,0.0005686094],"genre_scores_gemma":[0.0006545713,0.0001570126,0.0001891349,0.00009160728,0.00001379887,0.00006959266,0.9959092,0.0000603256,0.002854852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06773271,"threshold_uncertainty_score":0.3011439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07999526108136497,"score_gpt":0.2840756380895192,"score_spread":0.2040803770081543,"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."}}