{"id":"W6976291765","doi":"10.6068/dp14ba7cb1a7e95","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), by provinces, territories and economic regions based on 2006 Census boundaries | Variable: Employment | Units: , 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":"Census; Unemployment; Official statistics; Economic statistics; Socioeconomic status; Summary statistics; Discouraged worker; Wages and salaries; General Social Survey; Private sector","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":[0.002352614,0.002266029,0.002682045,0.00820828,0.00384304,0.004813493,0.005021857,0.001396495,0.09542912],"category_scores_gemma":[0.01693802,0.001923941,0.002146682,0.03701938,0.0006263458,0.002415738,0.002432592,0.003163231,0.05110394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06471097,"about_ca_system_score_gemma":0.1713703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967168,"about_ca_topic_score_gemma":0.995429,"domain_scores_codex":[0.995259,0.0003355915,0.0004949184,0.0005281363,0.002230112,0.001152294],"domain_scores_gemma":[0.9678497,0.001032551,0.0008712158,0.0008142345,0.02761177,0.00182057],"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":[0.00002937365,0.000008451902,0.001262711,0.0002869484,0.00002355786,0.000007632468,0.00003321431,0.0001077694,0.00001107666,0.0004458514,0.995242,0.002541353],"study_design_scores_gemma":[0.0001666031,0.00001728341,0.03835057,0.001069513,0.00008743205,0.00003440949,0.0006980852,0.0005542487,0.0001993704,0.0007404289,0.957974,0.0001080969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009007299,0.00009349332,0.00004407052,0.0001967591,0.00004603006,0.00002808266,0.9978963,0.00008791415,0.001517291],"genre_scores_gemma":[0.00162118,0.0006052792,0.0007836787,0.0002981626,0.00003136105,0.0002258761,0.9873613,0.0002068498,0.008866316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09542912,"threshold_uncertainty_score":0.4695131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182152271515994,"score_gpt":0.249023716248792,"score_spread":0.227202193533632,"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."}}