{"id":"W6901703220","doi":"10.6068/dp14ba8830b1763","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by National Occupational Classification for Statistics (NOC-S) and sex | Variable: 241 months or more, Occupations unique to processing, manufacturing and utilities, Males | Units: # Months x 1,000, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-143.","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; Census; Official statistics; Wage; Summary statistics; Socioeconomic status; Wages and salaries; Social statistics; Population 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":[0.002225812,0.002318511,0.00278013,0.008618069,0.003745527,0.004851155,0.005227302,0.001428867,0.1128067],"category_scores_gemma":[0.01832056,0.001842593,0.002118303,0.03985422,0.0006155167,0.002498721,0.002327601,0.003090497,0.06810468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05323747,"about_ca_system_score_gemma":0.1424807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954313,"about_ca_topic_score_gemma":0.9938944,"domain_scores_codex":[0.9956375,0.0002981821,0.0004680812,0.0005418225,0.00199216,0.001062274],"domain_scores_gemma":[0.9654268,0.001228967,0.0009569872,0.0009538829,0.02977873,0.001654687],"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":[0.00002320426,0.000006540521,0.0009879938,0.0002399171,0.00001849189,0.000006180582,0.00002448943,0.00008666506,0.000008419879,0.0003345079,0.996254,0.002009664],"study_design_scores_gemma":[0.0001615111,0.00001379503,0.02751028,0.0009443213,0.00007094808,0.0000283426,0.0005650604,0.0004380537,0.0001641838,0.0006997872,0.9693128,0.00009084754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000611315,0.00005938,0.00003260073,0.0001372142,0.00003439415,0.00001813194,0.9984668,0.00007302262,0.001117203],"genre_scores_gemma":[0.000946144,0.0003806314,0.0005275796,0.0002059516,0.00002407964,0.0001622371,0.9910585,0.000157446,0.006537294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1128067,"threshold_uncertainty_score":0.3862666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640404003903418,"score_gpt":0.299339246626362,"score_spread":0.2529352065873278,"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."}}