{"id":"W6931862811","doi":"10.5683/sp3/1jyjiy","title":"Labour Force Survey, August 2019 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Text and Document Classification Technologies","field":"Computer Science","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":[0.003581451,0.001142719,0.00114205,0.003905411,0.002826427,0.002858954,0.003283767,0.001479745,0.05259795],"category_scores_gemma":[0.01644153,0.001025239,0.001169217,0.009815219,0.0005917453,0.001593448,0.001401572,0.003605343,0.03471682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04313716,"about_ca_system_score_gemma":0.1099229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851211,"about_ca_topic_score_gemma":0.9888051,"domain_scores_codex":[0.9954115,0.0002747625,0.000425156,0.000366789,0.002736639,0.0007852517],"domain_scores_gemma":[0.9798952,0.0003945374,0.000348836,0.0003426739,0.01799938,0.001019458],"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":[0.00002011941,0.000008816192,0.001280355,0.0001701486,0.000007740534,0.000008930951,0.00003470387,0.00004051841,0.00001786559,0.0004541181,0.9903616,0.007595102],"study_design_scores_gemma":[0.00004916495,0.0000145287,0.06548895,0.0005915634,0.00002550381,0.00002072265,0.0002788845,0.0001108046,0.00004817049,0.0002649529,0.9330724,0.00003435227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006878451,0.001576575,0.0003495727,0.004173144,0.001893356,0.0007613591,0.9475942,0.0002690813,0.04269483],"genre_scores_gemma":[0.008373268,0.005228917,0.002722887,0.007394088,0.0004494621,0.002266116,0.8523565,0.0002964002,0.1209123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05259795,"threshold_uncertainty_score":0.3129835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842488221238821,"score_gpt":0.2699706431110754,"score_spread":0.2415457608986872,"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."}}