{"id":"W6938761442","doi":"10.6068/dp14baa35571d12","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Government - Employment and Remuneration | Country: Canada | Province: Nova Scotia | Table: Labour statistics by business sector industry and non-commercial activity, consistent with the System of National Accounts, by North American Industry Classification System (NAICS) | Variable: Annual average number of hours worked for all jobs, Accommodation and food services, Business sector | Units: , 1997-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-104.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Census; Government (linguistics); Social statistics; Public sector; Remuneration; National accounts; Summary statistics","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":[0.002070406,0.002291849,0.002733435,0.007996198,0.003179038,0.004493582,0.004744268,0.00138502,0.08264531],"category_scores_gemma":[0.01744443,0.001775099,0.001931718,0.03892294,0.0005914228,0.002323008,0.002238662,0.002949445,0.05398346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05295951,"about_ca_system_score_gemma":0.1363002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950495,"about_ca_topic_score_gemma":0.9935843,"domain_scores_codex":[0.9957404,0.000287933,0.0004748065,0.0005535576,0.001971484,0.0009717726],"domain_scores_gemma":[0.963881,0.001173802,0.001083504,0.0009947068,0.03125219,0.001614767],"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":[0.00002631599,0.000006427381,0.001087503,0.0002394487,0.00002173152,0.000007393215,0.00002342502,0.0001005891,0.000009891875,0.0003233435,0.9966062,0.001547643],"study_design_scores_gemma":[0.0001619146,0.0000140861,0.03097039,0.0008814627,0.00007487847,0.00002939198,0.0005582224,0.0004735496,0.0001919245,0.0005797535,0.9659741,0.00009025756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006658637,0.00004855089,0.00002235313,0.0001209252,0.00003071378,0.00001497435,0.9987929,0.00005093565,0.0008520491],"genre_scores_gemma":[0.0008978908,0.0002686941,0.0003515956,0.0001568269,0.00001945358,0.0001161069,0.99331,0.0001093942,0.004770145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08264531,"threshold_uncertainty_score":0.3842499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262606775630709,"score_gpt":0.2397433239368058,"score_spread":0.2171172561804987,"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."}}