{"id":"W6969281421","doi":"10.5683/sp3/d2k7yj","title":"Labour Force Survey, October 2013 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","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; Minimum wage; Discouraged worker","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003990437,0.001240815,0.001351652,0.004181643,0.00314335,0.003011689,0.00387443,0.001379161,0.03869418],"category_scores_gemma":[0.01685439,0.001214678,0.001412896,0.0120336,0.0006455339,0.001594711,0.001461074,0.003823939,0.02239848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05351393,"about_ca_system_score_gemma":0.1294884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989838,"about_ca_topic_score_gemma":0.9927776,"domain_scores_codex":[0.9947956,0.0002926584,0.0004526543,0.000411323,0.003219781,0.0008279742],"domain_scores_gemma":[0.9775489,0.0003738571,0.0003806216,0.0003495712,0.02039952,0.0009475753],"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":[0.00002610014,0.00001263996,0.001921446,0.0002516758,0.0000126164,0.00001070788,0.00004938777,0.00006388126,0.00002324614,0.0005057978,0.9892523,0.007870329],"study_design_scores_gemma":[0.00007956974,0.00002013825,0.1157901,0.0008167212,0.00004685602,0.00002797839,0.0004611087,0.0001966703,0.00008676735,0.0003567171,0.8820615,0.00005584614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007677277,0.001311863,0.0003489455,0.003310709,0.001325866,0.0007979448,0.9638497,0.000247595,0.02803967],"genre_scores_gemma":[0.008790446,0.004905626,0.003387966,0.006009506,0.0003480987,0.002390379,0.8985739,0.0002697011,0.07532436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05351393,"threshold_uncertainty_score":0.3882725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010732891493324,"score_gpt":0.2797371346117342,"score_spread":0.249629805696801,"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."}}