{"id":"W6932107502","doi":"10.5683/sp3/auavcx","title":"Labour Force Survey, September 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":[0.003884351,0.001192054,0.001100444,0.003800851,0.002985631,0.003099896,0.003550759,0.001654163,0.05070718],"category_scores_gemma":[0.01617052,0.001109553,0.001249839,0.008611818,0.0006116903,0.001560645,0.001453153,0.003711186,0.03117293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04802965,"about_ca_system_score_gemma":0.1290801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873046,"about_ca_topic_score_gemma":0.9899235,"domain_scores_codex":[0.9952533,0.000293791,0.0003725569,0.000351277,0.002853166,0.0008759873],"domain_scores_gemma":[0.9811844,0.0003279215,0.0003047117,0.0003103683,0.0168152,0.001057464],"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":[0.0000198213,0.000009115881,0.001164943,0.0001474824,0.000007974128,0.000009351487,0.00003196527,0.00004677082,0.00001849195,0.0004951603,0.9903132,0.007735696],"study_design_scores_gemma":[0.00004249049,0.00001370883,0.05554099,0.000459764,0.00002413046,0.00001791217,0.0002408982,0.0001100852,0.00005036198,0.0002533721,0.9432146,0.00003186406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008610844,0.002077399,0.0004773318,0.006260828,0.002624907,0.0009519757,0.9293201,0.0003589392,0.05706739],"genre_scores_gemma":[0.009412247,0.005562299,0.003768595,0.009470046,0.0005114969,0.00229695,0.8138559,0.0003384217,0.154784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05070718,"threshold_uncertainty_score":0.3484811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130989529464123,"score_gpt":0.2809872123560206,"score_spread":0.2596773170613794,"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."}}