{"id":"W6931789741","doi":"10.5683/sp3/emtnws","title":"Labour Force Survey, February 2020 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cognitive Computing and Networks","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; Survey data collection","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":[0.0009767317,0.0004746545,0.00054435,0.000146106,0.0002463544,0.0002787979,0.002525456,0.0002945242,0.00002061539],"category_scores_gemma":[0.0005065253,0.000482866,0.0001378532,0.001061003,0.00004836352,0.00009993899,0.001165206,0.000693747,0.0001712438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157344,"about_ca_system_score_gemma":0.001292764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839888,"about_ca_topic_score_gemma":0.9903454,"domain_scores_codex":[0.9966074,0.0004520038,0.0004524731,0.0009987748,0.0007601255,0.0007292021],"domain_scores_gemma":[0.9962171,0.001311658,0.0002764529,0.001586563,0.0003240485,0.0002842002],"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":[0.000007990971,0.00002205705,0.00004365632,0.00004647777,0.00006200745,0.000385541,0.000004824361,0.00004206517,1.356902e-7,0.00004288269,0.9958386,0.003503756],"study_design_scores_gemma":[0.0002356878,0.0000462425,0.04820151,0.0001446796,0.00002219416,0.00001092564,0.000002701719,0.002004397,0.000003157978,0.0001677542,0.9486002,0.0005605106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001010941,0.0002993612,0.004446206,0.0005942428,0.001675082,0.0002204969,0.9923213,0.0002688581,0.0001643833],"genre_scores_gemma":[0.00003072661,0.0003298295,0.0001969874,0.002011142,0.0007837187,0.00002337507,0.9955471,0.00003607235,0.001041005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04815785,"threshold_uncertainty_score":0.9997623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289718475386542,"score_gpt":0.2566926873812451,"score_spread":0.2337955026273797,"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."}}