{"id":"W6931670762","doi":"10.5683/sp3/xrqlb6","title":"Labour Force Survey, March 2019 [Canada] [Rebased 2025]","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","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":[0.003709365,0.001178426,0.001160605,0.003846258,0.002897342,0.002831855,0.00344363,0.001528187,0.04866954],"category_scores_gemma":[0.01683761,0.001042878,0.0012292,0.009655619,0.0006034977,0.001627807,0.001414141,0.003679217,0.03190243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0462295,"about_ca_system_score_gemma":0.1137135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865499,"about_ca_topic_score_gemma":0.9899679,"domain_scores_codex":[0.995366,0.0002762978,0.0004288268,0.0003675302,0.002753405,0.0008079084],"domain_scores_gemma":[0.9794596,0.000388763,0.000348841,0.0003281465,0.01841981,0.001054772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002253687,0.000009729559,0.001408762,0.0002014442,0.000008867148,0.000009660012,0.00003779438,0.00004497487,0.00001968154,0.000451279,0.9902936,0.007491685],"study_design_scores_gemma":[0.00005881049,0.00001676041,0.0769432,0.000672253,0.00003029672,0.00002178721,0.0003239195,0.0001287465,0.00005567194,0.0002882267,0.9214203,0.00003995047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006877193,0.001472757,0.0003258302,0.003921159,0.001766022,0.0007996593,0.9536395,0.000245556,0.03714179],"genre_scores_gemma":[0.008753651,0.005123607,0.002766394,0.007969769,0.0004488505,0.00255824,0.8632507,0.0002779611,0.1088508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04866954,"threshold_uncertainty_score":0.3354201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596141659000071,"score_gpt":0.2862420842335964,"score_spread":0.2702806676435957,"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."}}