{"id":"W6931743451","doi":"10.5683/sp3/07vrye","title":"Labour Force Survey, June 2019 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Trypanosoma species research and implications","field":"Medicine","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":[0.003527814,0.001146722,0.001145042,0.003787824,0.002750378,0.002865899,0.003194215,0.001496348,0.0542002],"category_scores_gemma":[0.01630048,0.001016841,0.001171834,0.00916698,0.0005735611,0.001582838,0.001396721,0.003591602,0.0357465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04105234,"about_ca_system_score_gemma":0.1063493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839014,"about_ca_topic_score_gemma":0.9881014,"domain_scores_codex":[0.9955616,0.0002691297,0.0004095974,0.0003543905,0.00263587,0.0007694148],"domain_scores_gemma":[0.9804583,0.0003872499,0.0003336733,0.0003345891,0.01746154,0.001024691],"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":[0.00001977586,0.000008671461,0.001220404,0.0001615709,0.00000764972,0.00000870892,0.00003204745,0.00003910724,0.0000177583,0.0004230149,0.9907433,0.007317973],"study_design_scores_gemma":[0.00004782496,0.00001464158,0.06292056,0.0005581297,0.00002545336,0.00001988053,0.0002694068,0.0001081156,0.00004827918,0.0002625947,0.9356917,0.0000333795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006703394,0.001551789,0.0003423198,0.004274547,0.001943549,0.0007331039,0.9466438,0.0002668185,0.04357386],"genre_scores_gemma":[0.008208011,0.005012636,0.002688095,0.007530611,0.000461142,0.002135995,0.8495613,0.000287561,0.1241147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0542002,"threshold_uncertainty_score":0.297857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705954960568209,"score_gpt":0.3279614582954178,"score_spread":0.2909019086897358,"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."}}