{"id":"W6938793328","doi":"10.6068/dp14ba804afca97","title":"Trend 2005 - 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: 65 years and over, Management occupations, Males | Units: # Persons x 1,000, 2005-2013. 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; Summary statistics; Wage; Socioeconomic status; Population statistics; Social 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":[0.002449847,0.002291581,0.002698888,0.008188444,0.003669966,0.00489233,0.00528404,0.001435702,0.1116987],"category_scores_gemma":[0.01929888,0.001834228,0.002170927,0.03749252,0.0006002552,0.002482284,0.002285358,0.00300023,0.06196727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05548768,"about_ca_system_score_gemma":0.1496347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956805,"about_ca_topic_score_gemma":0.9941759,"domain_scores_codex":[0.9955569,0.0003223048,0.0004916732,0.0005382424,0.002046709,0.001044101],"domain_scores_gemma":[0.9661604,0.001246503,0.0009129407,0.0009625958,0.02898737,0.001730207],"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":[0.00002381487,0.000006197768,0.0009475522,0.0002386249,0.00001889455,0.000006107532,0.00002285142,0.00008313268,0.000008474448,0.0003408074,0.996154,0.002149605],"study_design_scores_gemma":[0.0001619683,0.00001396899,0.02577899,0.001022351,0.00007941522,0.00002898414,0.0005373936,0.0004646972,0.0001605329,0.0007386848,0.970921,0.00009200685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006280258,0.00006910689,0.00003612876,0.0001624857,0.000041596,0.00002079896,0.9983104,0.00007877583,0.001217747],"genre_scores_gemma":[0.001070118,0.0004221316,0.0006476713,0.0002620305,0.00002637847,0.0001788802,0.9903638,0.0001689933,0.006859931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1116987,"threshold_uncertainty_score":0.4025931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368327534065619,"score_gpt":0.2848580722447588,"score_spread":0.2411747969041026,"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."}}