{"id":"W6957929756","doi":"10.6068/dp14ba845a7a268","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: 25 to 54 years, Professional occupations in business and finance, 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; Economic statistics; Official statistics; Wage; Summary statistics; Socioeconomic status; 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":[0.002365969,0.002303505,0.002749043,0.008573071,0.003501912,0.004784574,0.00518367,0.001442152,0.1119537],"category_scores_gemma":[0.01899114,0.00184798,0.002053037,0.03997552,0.0005917016,0.002441681,0.002328831,0.00311766,0.06792161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05189683,"about_ca_system_score_gemma":0.1378122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948709,"about_ca_topic_score_gemma":0.9931964,"domain_scores_codex":[0.9955959,0.0003169608,0.0004811726,0.0005408612,0.002026805,0.00103843],"domain_scores_gemma":[0.9658111,0.001296022,0.0009523016,0.0009702695,0.02924599,0.001724346],"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":[0.00002076381,0.000006294772,0.0008401118,0.000212506,0.00001625579,0.000005447868,0.00002132733,0.00007921965,0.000007604438,0.0003067821,0.9966173,0.001866339],"study_design_scores_gemma":[0.0001595537,0.00001327476,0.02482345,0.0008840403,0.00006609727,0.00002619032,0.0005062767,0.0004339128,0.0001550399,0.0006829018,0.9721631,0.00008603215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005589264,0.00005460221,0.00003261996,0.0001313142,0.00003351168,0.00001882695,0.9985802,0.00007202729,0.001020972],"genre_scores_gemma":[0.0007912731,0.0003307323,0.0005067017,0.0001964184,0.0000223922,0.000165837,0.9920295,0.0001445313,0.005812531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1119537,"threshold_uncertainty_score":0.3765396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517616488673076,"score_gpt":0.2925697841119514,"score_spread":0.2473936192252207,"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."}}