{"id":"W6939208276","doi":"10.6068/dp14ba8aeda8825","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, Construction, Females, Total employees, Average weekly 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; Economic statistics; Wages and salaries; 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":[0.002077907,0.002505008,0.002936899,0.007811482,0.002954485,0.004588117,0.005407064,0.001480034,0.09132482],"category_scores_gemma":[0.0164442,0.001845868,0.002076666,0.04017622,0.0005688599,0.002293208,0.002152467,0.003280662,0.06001195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04621363,"about_ca_system_score_gemma":0.1152471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936736,"about_ca_topic_score_gemma":0.9916596,"domain_scores_codex":[0.995895,0.0002674706,0.0004429051,0.0005191966,0.001875798,0.0009995654],"domain_scores_gemma":[0.9664252,0.00115944,0.00104987,0.0008728125,0.02895144,0.001541218],"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":[0.00002760711,0.000007848212,0.00096344,0.0002247225,0.00002030461,0.000005577329,0.00001805456,0.00009360346,0.000007950438,0.0002497552,0.9968325,0.001548526],"study_design_scores_gemma":[0.0002583277,0.00001719658,0.03272004,0.001014416,0.00008201297,0.00002817352,0.0005073636,0.0005222223,0.0002002535,0.0006950295,0.9638559,0.0000991085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005662532,0.00004352658,0.00001995226,0.0001012933,0.00002601452,0.00001483182,0.9989272,0.00005480683,0.0007556641],"genre_scores_gemma":[0.0006986215,0.000223331,0.0002845156,0.000145711,0.00001754034,0.000115398,0.9947125,0.00009614876,0.003706363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09132482,"threshold_uncertainty_score":0.3353049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174354721394047,"score_gpt":0.25883032178978,"score_spread":0.2270867745758396,"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."}}