{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003618724,0.001135684,0.001047946,0.003561791,0.002888831,0.002920216,0.003369523,0.001555966,0.05272334],"category_scores_gemma":[0.01574066,0.001018261,0.001215529,0.008198763,0.0005999812,0.001510296,0.001341808,0.003448542,0.03241777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04481662,"about_ca_system_score_gemma":0.1173964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860638,"about_ca_topic_score_gemma":0.9894805,"domain_scores_codex":[0.9955514,0.0002959896,0.000346958,0.0003379845,0.002652246,0.0008152794],"domain_scores_gemma":[0.9832144,0.0003219435,0.0002750254,0.0002960677,0.01500243,0.0008902653],"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":[0.00002054562,0.00000930634,0.001177608,0.0001477621,0.000008126592,0.00000971946,0.00003386435,0.0000483091,0.00001960582,0.0005472247,0.9897829,0.008195061],"study_design_scores_gemma":[0.00004408575,0.00001445791,0.05484222,0.0004600117,0.00002445645,0.00001841327,0.0002547817,0.0001148352,0.00005111399,0.0002988303,0.9438442,0.0000326776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008827981,0.001976617,0.0005300321,0.005628716,0.002324154,0.001021804,0.9247664,0.0003598774,0.06250957],"genre_scores_gemma":[0.009765725,0.005367439,0.003994479,0.009228951,0.0004634187,0.002471001,0.8005177,0.0003335824,0.1678578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05272334,"threshold_uncertainty_score":0.3251688,"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."}}