{"id":"W6967299237","doi":"10.5255/ukda-sn-8412-1","title":"Quarterly Labour Force Survey Household Dataset, January - March, 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; 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":[0.001665662,0.0009181183,0.001268508,0.002918528,0.0007294884,0.001735132,0.001755478,0.0009966015,0.1149258],"category_scores_gemma":[0.01160496,0.0005059586,0.0007216505,0.006878698,0.000178034,0.001189636,0.001275548,0.001534383,0.1258419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355921,"about_ca_system_score_gemma":0.003072548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08144173,"about_ca_topic_score_gemma":0.08681835,"domain_scores_codex":[0.9983375,0.0002982054,0.0002778425,0.0002927794,0.0005482546,0.0002453137],"domain_scores_gemma":[0.9960219,0.0004963485,0.0003830657,0.00033942,0.002517843,0.0002414064],"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":[0.0000373598,0.00001807641,0.002075044,0.0002264432,0.00001510814,0.00001366245,0.00004048829,0.00006040683,0.0000103088,0.0003454072,0.9916414,0.005516336],"study_design_scores_gemma":[0.0002638173,0.00004816085,0.06377131,0.0006302703,0.0000435065,0.00006489681,0.0005017413,0.0002917316,0.00005450603,0.0007861406,0.9335104,0.00003346102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005569017,0.0001833065,0.0001457861,0.0002730711,0.0001285396,0.0001246306,0.9937521,0.0001002942,0.004735318],"genre_scores_gemma":[0.002390219,0.0003548785,0.0003274102,0.0002431256,0.0001004112,0.0007891671,0.9850518,0.00005743229,0.01068567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1149258,"threshold_uncertainty_score":0.384465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06506558171251875,"score_gpt":0.2962915303052483,"score_spread":0.2312259485927295,"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."}}