{"id":"W6969257583","doi":"10.5683/sp3/n7p5or","title":"Labour Force Survey, January 2010 [Canada] [Rebased, 2023 Revisions]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","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":[0.003469559,0.001616329,0.001638761,0.005112603,0.002983446,0.002721394,0.004286722,0.001430723,0.04118541],"category_scores_gemma":[0.01411091,0.001373003,0.001436569,0.01554988,0.0007195152,0.001834249,0.001428957,0.003714491,0.02448565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04513763,"about_ca_system_score_gemma":0.0967497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816357,"about_ca_topic_score_gemma":0.9855391,"domain_scores_codex":[0.9959138,0.0002704338,0.0004229536,0.0004003705,0.00234805,0.0006443389],"domain_scores_gemma":[0.9764726,0.0004144789,0.0004176571,0.0003645647,0.02157445,0.0007563594],"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":[0.00003221989,0.00001736546,0.002394808,0.0003507492,0.00001560884,0.00001197232,0.00004538129,0.00008496797,0.00002073208,0.0004324923,0.9885095,0.008084214],"study_design_scores_gemma":[0.0001172067,0.00002720755,0.1345116,0.001259513,0.00005888702,0.00004476207,0.0004786625,0.0002164545,0.0000851326,0.0004508263,0.8626899,0.00005988667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005818857,0.001531432,0.0002502462,0.001878749,0.001141386,0.0006024297,0.974651,0.0001833288,0.01917946],"genre_scores_gemma":[0.007279176,0.006269362,0.002457098,0.003133104,0.0002963532,0.002099706,0.9115373,0.0002110468,0.06671689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04513763,"threshold_uncertainty_score":0.327498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069008717928927,"score_gpt":0.285729088405295,"score_spread":0.2550390012260058,"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."}}