{"id":"W6967469514","doi":"10.5255/ukda-sn-8296-1","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2017","year":2018,"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; Work (physics); Sample (material); Survey data collection; Northern ireland; Data collection; Work force; Data source","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":[0.001703479,0.0009288152,0.001281431,0.003058193,0.000644378,0.00168434,0.00168164,0.0009197696,0.1019525],"category_scores_gemma":[0.01104749,0.0005113493,0.000747826,0.007263194,0.0001870888,0.001099922,0.001337217,0.001471229,0.117326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014149,"about_ca_system_score_gemma":0.003400421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08322413,"about_ca_topic_score_gemma":0.08771873,"domain_scores_codex":[0.9983432,0.0003038301,0.0002873502,0.0002660114,0.0005448062,0.0002547766],"domain_scores_gemma":[0.9960233,0.0004801678,0.000391263,0.0003336522,0.002542932,0.0002286973],"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":[0.00003717861,0.00001710946,0.002028068,0.0002396146,0.00001631567,0.00001317303,0.000037008,0.00007196945,0.000009967513,0.0003390577,0.9923539,0.004836586],"study_design_scores_gemma":[0.0002970755,0.00004747894,0.0626771,0.0007216127,0.00004669745,0.00006732446,0.0005464047,0.0003187438,0.00006426198,0.0008690853,0.9343077,0.0000364665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004750606,0.000144188,0.0001194612,0.0002128268,0.0001058914,0.0001093698,0.9951827,0.00008053624,0.003569971],"genre_scores_gemma":[0.00193273,0.0003087466,0.000258734,0.0001977858,0.00007896211,0.0007165303,0.9884367,0.00004908983,0.008020818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019525,"threshold_uncertainty_score":0.3410652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08626511914673606,"score_gpt":0.3189790193844739,"score_spread":0.2327139002377379,"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."}}