{"id":"W6939182978","doi":"10.6068/dp14ba862e5cb39","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), multiple jobholders by National Occupational Classification for Statistics (NOC-S), sex and age group | Variable: 45 years and over, Financial, secretarial and administrative occupations, 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":"Census; Official statistics; Economic statistics; Summary statistics; Wage; Socioeconomic status; Population statistics; Social statistics; Statistical analysis","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":[0.002367152,0.002291994,0.00280152,0.008501546,0.003517412,0.004774343,0.005239425,0.001435158,0.1105018],"category_scores_gemma":[0.01860048,0.001856728,0.002065288,0.03929716,0.000600662,0.002404462,0.002314684,0.003069845,0.06632051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05457181,"about_ca_system_score_gemma":0.1437352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952003,"about_ca_topic_score_gemma":0.9936227,"domain_scores_codex":[0.9956023,0.0003096493,0.0004846662,0.0005356463,0.002026942,0.00104084],"domain_scores_gemma":[0.965884,0.001242461,0.0009556107,0.0009494756,0.02926785,0.001700626],"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":[0.00002151174,0.000006409226,0.0008830817,0.0002234041,0.00001715558,0.000005723215,0.00002171075,0.00008051442,0.000007693367,0.0003049443,0.9964399,0.001988051],"study_design_scores_gemma":[0.0001668259,0.00001389288,0.02670282,0.0009430306,0.00007224848,0.0000281893,0.0005152205,0.000448579,0.0001588642,0.0006929273,0.9701694,0.00008793784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005984762,0.00006020368,0.00003278247,0.0001389488,0.0000347184,0.00001974378,0.9985117,0.00007177996,0.001070339],"genre_scores_gemma":[0.0008649374,0.0003646817,0.000517135,0.0002104573,0.00002353693,0.0001678687,0.9914847,0.0001459957,0.006220721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1105018,"threshold_uncertainty_score":0.3959481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632721800632202,"score_gpt":0.2974877246104909,"score_spread":0.2411605066041689,"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."}}