{"id":"W6920335552","doi":"10.6068/dp14ba862d71b36","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: 15 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":[0.002364287,0.002289463,0.002795603,0.008483923,0.003515154,0.004768114,0.005231181,0.001429564,0.1105324],"category_scores_gemma":[0.01853714,0.001851547,0.002063131,0.03925882,0.0005996604,0.002401748,0.002311066,0.00306812,0.06617755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05462541,"about_ca_system_score_gemma":0.1440261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952356,"about_ca_topic_score_gemma":0.9936554,"domain_scores_codex":[0.9956083,0.0003086187,0.0004822904,0.0005342641,0.002026707,0.001039804],"domain_scores_gemma":[0.9659929,0.001235202,0.0009507394,0.0009440814,0.02918097,0.001696129],"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":[0.00002138196,0.000006409403,0.0008844386,0.0002228264,0.00001710908,0.00000571904,0.00002175328,0.00008043398,0.000007685747,0.0003063948,0.9964294,0.00199646],"study_design_scores_gemma":[0.0001655806,0.00001387907,0.02679144,0.000940498,0.00007206977,0.00002812226,0.0005164882,0.000447909,0.000158708,0.0006923949,0.9700853,0.00008766212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006032105,0.00006055685,0.00003302451,0.0001395899,0.0000348304,0.00001984064,0.9985015,0.00007191921,0.001078525],"genre_scores_gemma":[0.0008735132,0.0003672625,0.0005212773,0.000211256,0.00002359979,0.0001688904,0.9913833,0.000146685,0.006304262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1105324,"threshold_uncertainty_score":0.3963369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629894934726224,"score_gpt":0.2971735385911722,"score_spread":0.24087458924391,"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."}}