{"id":"W6957928348","doi":"10.6068/dp14ba7f9736e51","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Industries | Country: Canada | Table: Labour force survey estimates (LFS), employees by job permanency, North American Industry Classification System (NAICS), sex and age group | Variable: 65 years and over, Trade, Permanent, Males | Units: # Persons x 1,000, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-139.","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; Wages and salaries; 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":[0.00229755,0.00231631,0.002670992,0.007973935,0.003457732,0.004864056,0.005172744,0.00148556,0.1176306],"category_scores_gemma":[0.01895869,0.001760103,0.00207567,0.03800797,0.0005636968,0.00245931,0.00238418,0.003008712,0.07432307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04365326,"about_ca_system_score_gemma":0.118066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935469,"about_ca_topic_score_gemma":0.9913483,"domain_scores_codex":[0.9959387,0.00029966,0.0004500509,0.0005405513,0.001799521,0.0009715523],"domain_scores_gemma":[0.9676868,0.001266003,0.0008794371,0.001041949,0.02753582,0.001589961],"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":[0.00002046374,0.000005366727,0.0007696117,0.0001993286,0.00001630796,0.000005419301,0.00001989121,0.00007619998,0.00000753494,0.0002873964,0.9968748,0.001717654],"study_design_scores_gemma":[0.0001566658,0.00001160891,0.01992927,0.000854217,0.00006410386,0.00002455744,0.0004701809,0.0003981922,0.000144488,0.000685852,0.9771785,0.00008240524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000463528,0.00004365353,0.0000289918,0.0001175512,0.00003069184,0.00001508489,0.9987488,0.00006916506,0.0008996082],"genre_scores_gemma":[0.0006564645,0.0002535697,0.0004110782,0.0001661933,0.00001859116,0.0001323376,0.9935901,0.000136402,0.004635165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1176306,"threshold_uncertainty_score":0.3935137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048827194170701,"score_gpt":0.252278224020144,"score_spread":0.221789952078437,"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."}}