{"id":"W6931688453","doi":"10.5683/sp3/twukgp","title":"Labour Force Survey, May 2024 [Canada] [Rebased 2025]","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Government (linguistics); Wage; Current Population Survey; Duration (music); Public use; Survey data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008052433,0.0005546639,0.0005531121,0.0002432592,0.000170237,0.0007921719,0.003036405,0.0002863256,0.000189341],"category_scores_gemma":[0.0001676819,0.0004999101,0.00015708,0.0007801678,0.00003958054,0.000181563,0.001272798,0.0007214037,0.0002932064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555468,"about_ca_system_score_gemma":0.001430122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968752,"about_ca_topic_score_gemma":0.9713723,"domain_scores_codex":[0.9965169,0.0001999127,0.0005336091,0.001118072,0.0008662185,0.0007652168],"domain_scores_gemma":[0.9967991,0.0003877449,0.0001872389,0.002182338,0.0001575221,0.0002861218],"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":[0.000003447631,0.00001931928,0.00003321407,0.0001616903,0.00008323212,0.0003728977,0.00001526146,0.00004635098,4.429149e-7,0.0006035212,0.997394,0.001266632],"study_design_scores_gemma":[0.0001303934,0.00003306452,0.001998885,0.000173784,0.00003804692,0.00002329309,0.000005291764,0.001861852,0.00001034222,0.0002537296,0.9948872,0.0005840862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006754245,0.0006666509,0.001262186,0.0008515822,0.003760206,0.0001956082,0.991567,0.0001844197,0.001505635],"genre_scores_gemma":[0.00004612128,0.0001142298,0.0007706027,0.001570548,0.000697925,0.00002143375,0.9932034,0.00004318839,0.003532546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003062281,"threshold_uncertainty_score":0.9997452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289783516876303,"score_gpt":0.2633050495303448,"score_spread":0.2404072143615818,"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."}}