{"id":"W6950866380","doi":"10.5683/sp3/i7dzav","title":"Labour Force Survey, September 2013 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unemployment; Current Population Survey; Government (linguistics); Population; Wage; Descriptive statistics; Minimum wage; Discouraged worker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00393822,0.001220908,0.001337906,0.004169997,0.003189227,0.003105407,0.003943762,0.00139188,0.03943098],"category_scores_gemma":[0.01665145,0.001216003,0.001418595,0.01196492,0.000644164,0.001611062,0.001481234,0.003840507,0.0225489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05425669,"about_ca_system_score_gemma":0.1329239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990504,"about_ca_topic_score_gemma":0.9932533,"domain_scores_codex":[0.994818,0.0002811779,0.0004408426,0.0004079758,0.003217352,0.0008345951],"domain_scores_gemma":[0.9779048,0.0003604337,0.0003677549,0.0003461312,0.02007233,0.0009485397],"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":[0.00002554332,0.00001236881,0.001906806,0.000240997,0.00001251495,0.00001070509,0.00004931861,0.00006235099,0.00002276475,0.0005177283,0.9891311,0.008007865],"study_design_scores_gemma":[0.00007535765,0.00001909901,0.1101947,0.0007909877,0.00004544411,0.00002756643,0.0004490023,0.000187426,0.00008389838,0.0003496486,0.887722,0.00005498172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007740639,0.001345306,0.000354325,0.003496921,0.001377304,0.0007842032,0.9622259,0.0002559393,0.02938613],"genre_scores_gemma":[0.008720383,0.004955429,0.003429126,0.006214123,0.000350148,0.00232249,0.8953413,0.0002773639,0.07838968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05425669,"threshold_uncertainty_score":0.3936617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271939156307166,"score_gpt":0.2527181249579925,"score_spread":0.2255242093272758,"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."}}