{"id":"W6930074428","doi":"10.5255/ukda-sn-8105-2","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2016","year":2017,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Survey data collection; Sample (material); Work (physics); Northern ireland; Data collection; Work force; Underemployment","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":[0.002559137,0.001291389,0.001721432,0.003327443,0.0006647314,0.001743493,0.001818079,0.0008978242,0.1036101],"category_scores_gemma":[0.01363932,0.0007137314,0.0008717439,0.008053526,0.0002275472,0.001388722,0.001743147,0.001758269,0.111637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792291,"about_ca_system_score_gemma":0.004219585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07153271,"about_ca_topic_score_gemma":0.06727269,"domain_scores_codex":[0.9980068,0.0003675772,0.000393007,0.0003383531,0.0005925201,0.0003018851],"domain_scores_gemma":[0.9951435,0.0007014359,0.0004832344,0.0004565905,0.002951483,0.0002637779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000430208,0.00001418512,0.001417895,0.0002802044,0.00001746619,0.00001181551,0.00003809106,0.00006108252,0.0000147785,0.0003805887,0.9936313,0.004089606],"study_design_scores_gemma":[0.0003344062,0.00004957198,0.04585197,0.0008823061,0.00005534893,0.00006173735,0.0004502216,0.000237774,0.00008384509,0.00105043,0.9508972,0.00004509635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002487759,0.00007257986,0.0001050082,0.0001108479,0.0000866763,0.00007405938,0.9977944,0.00006132136,0.001446376],"genre_scores_gemma":[0.001130066,0.000206378,0.0002960406,0.0001269229,0.00005241483,0.000739475,0.9922156,0.00005288531,0.005180231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1036101,"threshold_uncertainty_score":0.3466103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179193792034814,"score_gpt":0.2877871340868838,"score_spread":0.2459951961665356,"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."}}