{"id":"W6931748599","doi":"10.5683/sp3/blzjjh","title":"Labour Force Survey, February 2017 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","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; Discouraged worker; Minimum wage","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":[0.00392888,0.001193117,0.001251437,0.004117147,0.003046734,0.003117616,0.003569079,0.001410946,0.04167969],"category_scores_gemma":[0.01812197,0.001099479,0.00131164,0.01079674,0.0006385892,0.001650679,0.001570057,0.003713604,0.02487806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05012177,"about_ca_system_score_gemma":0.1384998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882681,"about_ca_topic_score_gemma":0.9913371,"domain_scores_codex":[0.9944482,0.0003106238,0.0004694222,0.0003999588,0.003420931,0.000950837],"domain_scores_gemma":[0.9760846,0.0004066352,0.0003792209,0.0003712437,0.02164845,0.001109848],"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":[0.00002307199,0.00001002233,0.001591971,0.0002059251,0.00001001987,0.00001031445,0.00004416718,0.00004969322,0.00001836958,0.0004985064,0.9905419,0.006995982],"study_design_scores_gemma":[0.00006084563,0.0000156971,0.07874347,0.0007266802,0.0000343992,0.00002340336,0.0004194721,0.0001443257,0.00006880906,0.000325346,0.9193931,0.00004450772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008234201,0.001334524,0.0003262786,0.003819599,0.001689035,0.0007683684,0.9584335,0.0002629118,0.03254233],"genre_scores_gemma":[0.008213766,0.004614631,0.002671286,0.006277496,0.0003928237,0.002220561,0.8981232,0.0002975777,0.07718868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05012177,"threshold_uncertainty_score":0.3636606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346750150397608,"score_gpt":0.3399682716477319,"score_spread":0.3065007701437558,"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."}}