{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007889531,0.0003097537,0.0003455377,0.0001833782,0.0002017961,0.0002417803,0.001707675,0.0002273271,0.00005164736],"category_scores_gemma":[0.0002793849,0.0003059238,0.0001139657,0.00103412,0.00003202612,0.0001601507,0.0004452539,0.0004007953,0.0003070335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843599,"about_ca_system_score_gemma":0.0007304534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747609,"about_ca_topic_score_gemma":0.991052,"domain_scores_codex":[0.9971347,0.0003581113,0.0004162905,0.0007220425,0.0008949901,0.0004738723],"domain_scores_gemma":[0.997925,0.0002095824,0.0002034505,0.001246081,0.0002076275,0.0002082288],"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":[0.000006497663,0.00002323423,0.00002031281,0.00005707793,0.00002722704,0.00008957084,0.000003181168,0.000007847183,0.000002674036,0.0001237223,0.9989882,0.0006505139],"study_design_scores_gemma":[0.0001834381,0.00006129355,0.02854318,0.00003022616,0.00001061512,0.000007976921,0.000004945894,0.0006541982,0.00001175746,0.0001083508,0.9700404,0.000343607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001319854,0.00003112059,0.002818364,0.0008545112,0.001516283,0.0002242764,0.9942516,0.0001860845,0.0001045696],"genre_scores_gemma":[0.00002978829,0.0001415385,0.00008172553,0.0009344493,0.0002189359,0.00004236974,0.9953603,0.00002238102,0.003168541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02894773,"threshold_uncertainty_score":0.9999393,"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."}}