{"id":"W6969192900","doi":"10.5683/sp3/itmsur","title":"Labour Force Survey, June 2024 [Canada] [Rebased 2025]","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Government (linguistics); Wage; Current Population Survey; Public use; Duration (music); 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":[0.003758207,0.001225326,0.001138623,0.003696497,0.002839154,0.003020929,0.003419092,0.001658049,0.05227016],"category_scores_gemma":[0.01627695,0.001124979,0.001263228,0.00838703,0.0006047509,0.001553628,0.001412362,0.003679413,0.03356562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04410528,"about_ca_system_score_gemma":0.1203932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848686,"about_ca_topic_score_gemma":0.9879721,"domain_scores_codex":[0.9953976,0.0003011217,0.0003736592,0.0003428849,0.002745841,0.0008389216],"domain_scores_gemma":[0.9812546,0.0003486628,0.000305785,0.0003232041,0.01675243,0.001015334],"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":[0.00001948783,0.000008805786,0.001064251,0.0001391064,0.000007742857,0.000008662917,0.00002829425,0.00004534108,0.00001773974,0.000440869,0.9910745,0.007145282],"study_design_scores_gemma":[0.00004434865,0.00001401203,0.05208505,0.000453513,0.00002456325,0.00001757314,0.0002278993,0.0001095793,0.00004942644,0.0002544637,0.9466887,0.00003090097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007877032,0.001965299,0.0004756378,0.005796158,0.002528334,0.0009401917,0.9298477,0.0003545491,0.05730442],"genre_scores_gemma":[0.008748413,0.005324076,0.003663758,0.008862635,0.0004951152,0.002280864,0.8184785,0.0003301234,0.1518165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05227016,"threshold_uncertainty_score":0.3200077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038162913866303,"score_gpt":0.275601460728275,"score_spread":0.2552198315896119,"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."}}