{"id":"W6939002037","doi":"10.6068/dp14baa38b25643","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Government - Employment and Remuneration | Country: Canada | Province: British Columbia | 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); Remuneration; Public sector; Social statistics; Private sector; 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":[0.002111391,0.002340865,0.00289237,0.008371535,0.003337927,0.004786073,0.004955246,0.001475481,0.08798705],"category_scores_gemma":[0.0182044,0.001811858,0.001954377,0.04265441,0.0006164449,0.002471675,0.002181026,0.003189303,0.05633832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05262513,"about_ca_system_score_gemma":0.1352057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945516,"about_ca_topic_score_gemma":0.9929941,"domain_scores_codex":[0.9956036,0.0002989131,0.0004870865,0.000577579,0.002026199,0.001006666],"domain_scores_gemma":[0.9618202,0.0012513,0.001069697,0.001047465,0.03318352,0.001627886],"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":[0.00002311955,0.000006278984,0.0009041016,0.00022246,0.00001994738,0.000006457464,0.00002013063,0.0000895242,0.000008164439,0.0003069734,0.9969088,0.001483973],"study_design_scores_gemma":[0.0001577974,0.00001291855,0.02628547,0.0008812798,0.00007487136,0.00002804331,0.0005195801,0.0004429444,0.0001775421,0.0006234192,0.9707055,0.0000905521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005739331,0.00004967247,0.0000221048,0.0001191751,0.00002996472,0.00001414687,0.9988137,0.0000543348,0.0008394333],"genre_scores_gemma":[0.00084172,0.0002812092,0.0003464349,0.0001588589,0.00001924092,0.0001212997,0.9935662,0.0001125211,0.004552477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08798705,"threshold_uncertainty_score":0.3818238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764162156871309,"score_gpt":0.2257722925755181,"score_spread":0.208130671006805,"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."}}