{"id":"W6958294787","doi":"10.6068/dp14ba80a8f7c41","title":"Trend 2001 - 2008. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Average hourly earnings for salaried employees (paid a fixed salary) (SEPH), including overtime, for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Rooming and boarding houses | 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":"Education Discipline and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Economic statistics; Wages and salaries; Official statistics; Summary statistics; Socioeconomic status; Statistical analysis; Personal income","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","sts"],"consensus_categories":[],"category_scores_codex":[0.001667429,0.000674006,0.001017677,0.0001435742,0.001421846,0.0008066561,0.001136431,0.0005528789,0.000154533],"category_scores_gemma":[0.001588941,0.0006080242,5.567628e-7,0.001056284,0.0006608429,0.0004973283,0.0003959741,0.001284398,8.16337e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063589,"about_ca_system_score_gemma":0.02519401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982505,"about_ca_topic_score_gemma":0.9973609,"domain_scores_codex":[0.9949255,0.0009153122,0.000980988,0.001119326,0.0009749986,0.001083898],"domain_scores_gemma":[0.9941893,0.002164363,0.00163369,0.00107879,0.0003703229,0.000563518],"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":[0.00009710997,0.00004679321,0.006084531,0.000465545,0.000263359,0.000007304013,0.000111025,0.00003091092,0.000004328283,0.0004868713,0.9922036,0.0001986533],"study_design_scores_gemma":[0.0006187383,0.00006763564,0.0002756361,0.0001228635,0.0004933978,0.00001021724,0.006988197,0.004373006,8.055414e-8,2.054697e-7,0.9863071,0.0007429555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001725117,0.001463494,0.0001600392,0.00003576661,0.0005567429,0.001394182,0.9958617,0.0001375173,0.0002180158],"genre_scores_gemma":[0.0008233271,0.0004723226,0.0004497396,0.0002273775,0.0006396541,0.00008587351,0.9962122,0.0002208965,0.0008686249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02458765,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09154843918395436,"score_gpt":0.3248847679028554,"score_spread":0.2333363287189011,"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."}}