{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656807,0.002564392,0.002695275,0.007359602,0.002721838,0.004332018,0.005103897,0.001484034,0.06850809],"category_scores_gemma":[0.01372741,0.00161197,0.001916922,0.03523831,0.0005862399,0.002125992,0.001930374,0.003195551,0.05438293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03758296,"about_ca_system_score_gemma":0.08972035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913805,"about_ca_topic_score_gemma":0.9899207,"domain_scores_codex":[0.9968436,0.0001963276,0.0003190635,0.0004834284,0.001354811,0.0008028258],"domain_scores_gemma":[0.9737796,0.00095036,0.0009432166,0.0008100343,0.02229432,0.001222519],"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":[0.00002726381,0.000006972638,0.001088191,0.0001826028,0.0000199132,0.000005803532,0.00001407538,0.0001050301,0.000008745273,0.0002012266,0.9971985,0.001141851],"study_design_scores_gemma":[0.0002533713,0.00001616386,0.03300937,0.0008434206,0.00007293953,0.00002952642,0.0004479256,0.0006606203,0.0002294303,0.0006073656,0.963729,0.0001008746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005207528,0.00003325944,0.00001305836,0.00007472868,0.00001948423,0.000007649634,0.9993274,0.0000451255,0.0004272537],"genre_scores_gemma":[0.0004999376,0.00012088,0.0001628188,0.00007593168,0.00001186518,0.00005548038,0.9970644,0.00005302938,0.001955563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06850809,"threshold_uncertainty_score":0.2726848,"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."}}