{"id":"W6929902190","doi":"10.5255/ukda-sn-8105-3","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2016","year":2019,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Survey data collection; Sample (material); Work (physics); Northern ireland; Work force; Data collection; Weighting","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":[0.002609938,0.0012405,0.001660574,0.003033246,0.0006775267,0.001792124,0.001899599,0.0009945859,0.1202854],"category_scores_gemma":[0.01409604,0.0007169545,0.0009645251,0.007698892,0.0002096865,0.001400419,0.001682657,0.001969994,0.1214089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617132,"about_ca_system_score_gemma":0.004150609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0719617,"about_ca_topic_score_gemma":0.07133666,"domain_scores_codex":[0.9980646,0.0003908609,0.0003795722,0.0003371471,0.0005317193,0.0002961025],"domain_scores_gemma":[0.9954975,0.0006259451,0.0004477069,0.0004155688,0.002770567,0.0002427249],"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":[0.00004197563,0.00001495758,0.001507866,0.0003504198,0.0000199249,0.00001124232,0.00004083986,0.0000629072,0.00001437886,0.0004425699,0.9922949,0.005198065],"study_design_scores_gemma":[0.0003232014,0.00004305564,0.04775181,0.0009593202,0.00006060428,0.00005775917,0.0003989047,0.0002470918,0.00006473793,0.00105831,0.9489934,0.00004184573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002663641,0.0001212962,0.0001554254,0.000155939,0.0001202942,0.0001160715,0.9967892,0.00006880938,0.002206636],"genre_scores_gemma":[0.001543987,0.0003068311,0.0004395559,0.0002153942,0.00007873224,0.00113489,0.9883057,0.00007443505,0.007900576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1202854,"threshold_uncertainty_score":0.4023949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657617994200941,"score_gpt":0.2939987078536953,"score_spread":0.2374225279116858,"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."}}