{"id":"W6894465725","doi":"10.5683/sp3/cxa29f","title":"Labour Force Survey, March 2020 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Visual Attention and Saliency Detection","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; Minimum wage","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":[0.004196589,0.001296709,0.001145755,0.00376997,0.003007758,0.002997817,0.003690657,0.001653358,0.04174016],"category_scores_gemma":[0.01693551,0.001116935,0.001358146,0.009040493,0.0006311225,0.00163779,0.001434079,0.003843637,0.02754317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04942983,"about_ca_system_score_gemma":0.1344662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873481,"about_ca_topic_score_gemma":0.990284,"domain_scores_codex":[0.9950349,0.0003131071,0.0004080346,0.0003715492,0.002972977,0.0008993025],"domain_scores_gemma":[0.9798624,0.0003454154,0.0003311044,0.000301396,0.01802995,0.001129614],"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":[0.00002292979,0.0000108025,0.001410077,0.0002182848,0.00001015112,0.00001025009,0.00003846688,0.00005574897,0.00002122437,0.0005304682,0.9892724,0.008399368],"study_design_scores_gemma":[0.00005734507,0.00001806533,0.07040875,0.0006764304,0.0000333779,0.0000213146,0.0003063935,0.0001430109,0.00005887295,0.0003130705,0.9279222,0.00004110347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008045222,0.002151703,0.0004679747,0.005155286,0.002261854,0.001032848,0.9422807,0.0003226531,0.04552247],"genre_scores_gemma":[0.009642383,0.00636366,0.003964568,0.009453209,0.0004712325,0.00292942,0.8601752,0.000316587,0.1066838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04942983,"threshold_uncertainty_score":0.3586402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296369437788482,"score_gpt":0.2932541244390804,"score_spread":0.2636171806602322,"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."}}