{"id":"W6901604505","doi":"10.6068/dp14ba888f5113","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), by National Occupational Classification for Statistics (NOC-S) and sex | Variable: Full-time employment, Occupations unique to processing, manufacturing and utilities, Males | Units: # Persons 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; Population statistics; Social statistics; Wages and salaries","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":[0.002415264,0.002283562,0.002829037,0.008772455,0.003745287,0.004710787,0.005379088,0.001440459,0.1087238],"category_scores_gemma":[0.01916701,0.001863558,0.002130006,0.04089348,0.0006094534,0.002489238,0.002318539,0.003142345,0.06313732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05778462,"about_ca_system_score_gemma":0.1573958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957561,"about_ca_topic_score_gemma":0.9942713,"domain_scores_codex":[0.9953606,0.000318573,0.0005077028,0.000556003,0.002158818,0.001098288],"domain_scores_gemma":[0.9639845,0.00123777,0.0009629369,0.0009570715,0.03115547,0.001702265],"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":[0.00002386161,0.000006941297,0.001022982,0.0002499186,0.00001921486,0.000006261318,0.00002444821,0.00008765049,0.000008478432,0.0003519166,0.9960437,0.00215477],"study_design_scores_gemma":[0.0001682295,0.00001507962,0.03066131,0.001022563,0.00007841438,0.00002996053,0.0005719746,0.0004500124,0.0001636192,0.0007260051,0.9660206,0.00009208613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006500305,0.00006628178,0.00003370262,0.0001479932,0.00003743885,0.00002107812,0.9984066,0.00007041811,0.001151506],"genre_scores_gemma":[0.001048318,0.0004277685,0.0005830911,0.0002344339,0.0000257641,0.0001879504,0.9903591,0.0001556583,0.006978021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1087238,"threshold_uncertainty_score":0.4192588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04714746746843117,"score_gpt":0.2945638523566492,"score_spread":0.247416384888218,"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."}}