{"id":"W6938925150","doi":"10.6068/dp14ba8a671f775","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Table: Labour force survey estimates (LFS), by National Occupational Classification for Statistics (NOC-S) and sex | Variable: Unemployed, Retail salespersons, sales clerks, cashiers, including retail trade supervisors, Females | 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":"Economic statistics; Census; Official statistics; Wage; Summary statistics; Socioeconomic status; Population statistics; National accounts; Wages and salaries","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":[0.002350315,0.002416896,0.0029647,0.008982886,0.003660438,0.004745137,0.005458544,0.001433918,0.1015131],"category_scores_gemma":[0.01885326,0.001882239,0.002154998,0.0413505,0.0006258956,0.002466854,0.002378679,0.003141547,0.06058207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05727404,"about_ca_system_score_gemma":0.1510503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955664,"about_ca_topic_score_gemma":0.9939657,"domain_scores_codex":[0.9954286,0.000312539,0.0005219195,0.0005677874,0.002095775,0.001073498],"domain_scores_gemma":[0.9647024,0.00123457,0.001004417,0.0009401893,0.03041146,0.001707049],"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":[0.00002321553,0.000006488373,0.0009538583,0.0002543686,0.00001917752,0.000006300945,0.00002263559,0.000085313,0.000008015923,0.0003127809,0.9963415,0.001966344],"study_design_scores_gemma":[0.000177142,0.00001506941,0.02995886,0.00106523,0.00008331312,0.0000312561,0.0005515764,0.0004637109,0.0001668972,0.0006986051,0.9666954,0.00009304653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005900824,0.00006400875,0.00002906664,0.0001394196,0.00003454732,0.00001803813,0.9986539,0.00006393059,0.0009381144],"genre_scores_gemma":[0.000909727,0.0003941102,0.0004809544,0.0002060116,0.00002404401,0.0001590413,0.9919825,0.0001319255,0.005711704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1015131,"threshold_uncertainty_score":0.4155542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09266087928524472,"score_gpt":0.301711744306236,"score_spread":0.2090508650209913,"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."}}