{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783003,0.00107046,0.001206451,0.00311334,0.0006731315,0.001484353,0.001479644,0.001044426,0.05139286],"category_scores_gemma":[0.01008036,0.0005724184,0.0007603844,0.008266741,0.0001745295,0.001062697,0.001090012,0.001383885,0.06068677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997165,"about_ca_system_score_gemma":0.003556815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235916,"about_ca_topic_score_gemma":0.1230866,"domain_scores_codex":[0.9983753,0.0002556615,0.0003215794,0.0003087112,0.0004945873,0.0002440563],"domain_scores_gemma":[0.9965762,0.0003844304,0.0003934247,0.0002487232,0.00214967,0.0002473928],"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":[0.00006312392,0.00002382566,0.004496861,0.0004348713,0.00003291766,0.00002000769,0.00004147976,0.0001235403,0.00002120916,0.0002856116,0.9899906,0.004465985],"study_design_scores_gemma":[0.0005532101,0.0001058496,0.19679,0.0007762987,0.00009874275,0.0001048969,0.0006588277,0.0005276342,0.000113304,0.0007137283,0.7995076,0.00004989695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005057263,0.0001231512,0.00006879691,0.0001088607,0.00005368342,0.00006705631,0.997609,0.00004863571,0.001415078],"genre_scores_gemma":[0.002227702,0.0002192702,0.0002274774,0.0001498018,0.00004252114,0.0005765715,0.9921826,0.00002460986,0.004349545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1235916,"threshold_uncertainty_score":0.2457445,"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."}}