{"id":"W6901627335","doi":"10.6068/dp14ba896d20d0","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics by business sector industry and by non-commercial activity consistent with the industry accounts | Variable: Hours worked for all jobs, Sporting goods, hobby, book and music stores | Units: Hours x 1,000, 2007-2012. 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; Economic statistics; Census; Wages and salaries; Summary statistics; Official statistics; Socioeconomic status; Social statistics; Statistics education","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":[0.001685908,0.00256784,0.002716761,0.008019812,0.002960111,0.004546045,0.005205179,0.001534717,0.08635794],"category_scores_gemma":[0.01423816,0.001686792,0.001843094,0.03830892,0.0006031576,0.002295776,0.00212321,0.003121823,0.0589681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04354039,"about_ca_system_score_gemma":0.1050729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937044,"about_ca_topic_score_gemma":0.9921273,"domain_scores_codex":[0.9964789,0.0002231654,0.0003248053,0.0004820403,0.001588256,0.0009029446],"domain_scores_gemma":[0.9746543,0.0009630281,0.0008990687,0.0007359851,0.02143491,0.001312643],"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":[0.00001996669,0.000006847754,0.0008699217,0.0001686776,0.00001588456,0.000005535468,0.00001676121,0.0001025485,0.000007054992,0.0002793489,0.9972167,0.001290727],"study_design_scores_gemma":[0.0001691875,0.00001197506,0.0250392,0.0007937966,0.00005783955,0.00002563302,0.0004950928,0.0005832575,0.0001910877,0.0006675665,0.9718745,0.00009089465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005413803,0.00004151667,0.00002069351,0.0001010228,0.00002160161,0.00000963457,0.9990601,0.0000546075,0.0006366438],"genre_scores_gemma":[0.0006730849,0.0002104854,0.0002705407,0.0001101702,0.00001503061,0.00007959786,0.9952838,0.00008683494,0.003270561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08635794,"threshold_uncertainty_score":0.3159091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602008587343378,"score_gpt":0.2472494687809692,"score_spread":0.2212293829075354,"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."}}