{"id":"W6967310622","doi":"10.5255/ukda-sn-9272-1","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2023","year":2024,"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); Survey data collection; Sample (material); 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":[0.001614243,0.001007171,0.001303611,0.002834652,0.0006474887,0.001423015,0.001483732,0.001023724,0.06953169],"category_scores_gemma":[0.008647795,0.0004931989,0.0007266828,0.007867675,0.0001571336,0.0009717877,0.001019525,0.001296025,0.08595729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181896,"about_ca_system_score_gemma":0.00366953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1100998,"about_ca_topic_score_gemma":0.1062162,"domain_scores_codex":[0.9985772,0.0002166684,0.0002548215,0.0002546068,0.0004582428,0.0002384226],"domain_scores_gemma":[0.9966569,0.0003776554,0.0003281985,0.0002191561,0.002207809,0.000210316],"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":[0.00004592037,0.00001557821,0.002707427,0.0002847336,0.0000214655,0.00001607276,0.00002487545,0.00008101259,0.00001843031,0.0002592474,0.9920402,0.004485056],"study_design_scores_gemma":[0.0004514989,0.00006807016,0.1085013,0.0006571352,0.00007415185,0.00008629817,0.0004615712,0.000466764,0.0001003214,0.000772414,0.88832,0.00004045393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003225016,0.0001004535,0.00007085034,0.0001293408,0.00005442561,0.00005278901,0.9976239,0.00004591268,0.001599826],"genre_scores_gemma":[0.00174751,0.0002211394,0.0002178261,0.0001773222,0.00004418151,0.0005400041,0.9917606,0.00003134017,0.005260135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1100998,"threshold_uncertainty_score":0.2326066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246698817396532,"score_gpt":0.3149004177636357,"score_spread":0.2424334295896704,"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."}}