{"id":"W6976363605","doi":"10.6068/dp14ba89683df65","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by National Occupational Classification for Statistics (NOC-S) and sex | Variable: 241 months or more, Occupations in art, culture, recreation and sport, Females | Units: # Months x 1,000, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Economic statistics; Official statistics; Descriptive statistics; Summary statistics; Recreation; Socioeconomic status; National accounts","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":[0.002325824,0.002287342,0.002871113,0.008758494,0.0035839,0.00477455,0.005203875,0.001424962,0.08553162],"category_scores_gemma":[0.01791013,0.001895925,0.002207155,0.03885252,0.0006124463,0.0022876,0.002434871,0.003077698,0.04827942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05687115,"about_ca_system_score_gemma":0.1539822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961469,"about_ca_topic_score_gemma":0.9948251,"domain_scores_codex":[0.9953569,0.0003162067,0.000530812,0.0005540089,0.002108685,0.001133374],"domain_scores_gemma":[0.9673187,0.001229866,0.00103763,0.0008500774,0.0277916,0.001772236],"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":[0.00002701829,0.000007671026,0.001178158,0.0002840769,0.00002322247,0.000007167333,0.00002778987,0.0001030684,0.000008681533,0.0003448504,0.9960225,0.00196575],"study_design_scores_gemma":[0.0001994431,0.00001749986,0.03745783,0.001208473,0.00009420325,0.00003398346,0.0006725014,0.0005661285,0.0001982237,0.000683151,0.9587584,0.0001101647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006977242,0.00006608303,0.00002806528,0.0001339184,0.00003149566,0.00001845224,0.9986609,0.00006260913,0.000928637],"genre_scores_gemma":[0.001069995,0.0004129982,0.0004866812,0.0002058465,0.00002355858,0.0001676645,0.9919898,0.0001313278,0.005511989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08553162,"threshold_uncertainty_score":0.412631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943370675844631,"score_gpt":0.3027313588974557,"score_spread":0.2532976521390094,"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."}}