{"id":"W6931862811","doi":"10.5683/sp3/1jyjiy","title":"Labour Force Survey, August 2019 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Text and Document Classification Technologies","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004936254,0.0003418639,0.0003752155,0.0002724497,0.0001511324,0.0003283596,0.003674692,0.0003410941,0.00005032038],"category_scores_gemma":[0.0004740443,0.0003221873,0.00008012781,0.000848157,0.00006825787,0.0002379806,0.0007771961,0.0003778656,0.000368731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006143,"about_ca_system_score_gemma":0.0009389353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9711613,"about_ca_topic_score_gemma":0.9712946,"domain_scores_codex":[0.9976017,0.0001249307,0.000407913,0.0007094163,0.0006755808,0.0004804158],"domain_scores_gemma":[0.9965204,0.0003713903,0.0003168611,0.002515,0.000159124,0.0001172529],"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":[0.000002588779,0.00001707971,0.00002605956,0.00002946489,0.00002782211,0.00003113618,0.000001818036,0.000002536917,0.000001150009,0.002516228,0.9962088,0.001135303],"study_design_scores_gemma":[0.0001465037,0.00002562846,0.01411726,0.00002319637,0.000009708869,0.000001623837,0.000007987735,0.00004697816,0.00003901632,0.0006660647,0.9845479,0.00036818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000024731,0.0001210181,0.001705923,0.001918065,0.000729126,0.0002314778,0.9943746,0.0007180949,0.000199221],"genre_scores_gemma":[0.00000864897,0.000364958,0.0003153013,0.0005300028,0.00007789052,0.00005696774,0.9886627,0.00002133019,0.009962192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0140912,"threshold_uncertainty_score":0.999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842488221238821,"score_gpt":0.2699706431110754,"score_spread":0.2415457608986872,"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."}}