{"id":"W6931789741","doi":"10.5683/sp3/emtnws","title":"Labour Force Survey, February 2020 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cognitive Computing and Networks","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; Discouraged worker; Survey data collection","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":[0.004303219,0.001263136,0.001089021,0.003765807,0.003032099,0.003055168,0.003639469,0.001613987,0.03911163],"category_scores_gemma":[0.01719056,0.001106608,0.001320885,0.00893847,0.0006270416,0.001577372,0.001435622,0.003807531,0.02588576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05122003,"about_ca_system_score_gemma":0.1407805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884368,"about_ca_topic_score_gemma":0.9911528,"domain_scores_codex":[0.9948018,0.0003252516,0.0004151118,0.0003827563,0.003151238,0.0009239613],"domain_scores_gemma":[0.979223,0.0003433804,0.0003292566,0.0003152991,0.01859592,0.001193017],"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":[0.00002267215,0.00001064858,0.001447108,0.00019979,0.00001003714,0.00001053495,0.00004009633,0.00005489809,0.00002241137,0.0005594568,0.98897,0.008652198],"study_design_scores_gemma":[0.00005038152,0.00001685242,0.07046496,0.0006024202,0.00003094077,0.0000206093,0.0002977139,0.0001333375,0.00006064897,0.0002903348,0.9279926,0.00003928846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008982198,0.002306617,0.0005062825,0.0059014,0.002455875,0.001044706,0.9370352,0.0003516339,0.04950012],"genre_scores_gemma":[0.01066672,0.006520355,0.004267207,0.01022978,0.0004913784,0.002814906,0.8478324,0.0003395634,0.1168376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05122003,"threshold_uncertainty_score":0.3716291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289718475386542,"score_gpt":0.2566926873812451,"score_spread":0.2337955026273797,"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."}}