{"id":"W6892446813","doi":"10.5255/ukda-sn-9403-1","title":"Quarterly Labour Force Survey, Household Dataset, January - March, 2025","year":2025,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Antenna Design and Optimization","field":"Engineering","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; Work force; Data collection; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002034763,0.0003540843,0.0003720109,0.000341453,0.00004329466,0.0000719317,0.001299692,0.0001816022,0.0008302439],"category_scores_gemma":[0.00004033108,0.000377114,0.00003544859,0.0001934723,0.00006213518,0.0001203427,0.0002852625,0.0003770812,0.0002587837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002071493,"about_ca_system_score_gemma":0.00008409674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240329,"about_ca_topic_score_gemma":0.003821408,"domain_scores_codex":[0.9985527,0.0001169408,0.0002616162,0.0005383327,0.000177808,0.0003525634],"domain_scores_gemma":[0.9977006,0.000171584,0.00006734471,0.001954594,0.000009815279,0.00009603034],"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":[0.00001308199,0.00001273275,0.00005700095,0.0001905136,0.000146179,0.00002122562,0.00002285371,0.0001926237,0.00001863999,0.0003645048,0.9975813,0.001379363],"study_design_scores_gemma":[0.0003664557,0.00003603635,0.001619538,0.0003782436,0.00007481435,0.000003135786,0.00002419736,0.0304979,0.00000230259,0.000278533,0.9661295,0.00058936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.717877e-7,0.0007841824,0.3681222,0.0000211312,0.0004628355,0.0003832733,0.4777814,0.0004147806,0.1520294],"genre_scores_gemma":[0.00007068365,0.001708693,0.008692701,0.0001812907,0.0003252736,0.00002026368,0.5310359,0.0004037524,0.4575615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3594295,"threshold_uncertainty_score":0.9998681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705239583386152,"score_gpt":0.2408369800912851,"score_spread":0.2137845842574236,"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."}}