{"id":"W6911035036","doi":"10.5255/ukda-sn-8389-1","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2018","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; Spring (device)","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":[0.001740107,0.0009190771,0.001270874,0.002926469,0.0007091322,0.001755467,0.001746341,0.001001111,0.1216828],"category_scores_gemma":[0.0117933,0.0005166353,0.0007288143,0.006812489,0.00017486,0.00117819,0.00129067,0.001569282,0.1328025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324896,"about_ca_system_score_gemma":0.003077144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07823061,"about_ca_topic_score_gemma":0.08176002,"domain_scores_codex":[0.9983454,0.0002973963,0.0002689436,0.0002836101,0.000553672,0.0002509603],"domain_scores_gemma":[0.9959323,0.0005175919,0.000379847,0.0003652051,0.002555851,0.0002491865],"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":[0.00003326039,0.00001631506,0.001792555,0.0001972993,0.00001338594,0.00001242198,0.0000352403,0.00005678866,0.000009242906,0.0003194296,0.9922413,0.005272804],"study_design_scores_gemma":[0.0002544346,0.00004535136,0.05759846,0.0006114414,0.00004040853,0.00006286478,0.0004595203,0.0002848685,0.0000518428,0.0007773202,0.9397812,0.00003227584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005075505,0.0001788821,0.0001478657,0.0002832743,0.0001394919,0.0001168489,0.9937211,0.0001016261,0.004803295],"genre_scores_gemma":[0.002190293,0.00034879,0.0003168201,0.0002424423,0.0001041168,0.0007356419,0.9851618,0.00005907214,0.01084109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1216828,"threshold_uncertainty_score":0.4070694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571416171747417,"score_gpt":0.2953472909177665,"score_spread":0.2296331292002923,"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."}}