{"id":"W6967732891","doi":"10.5255/ukda-sn-8852-2","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2021","year":2022,"lang":"en","type":"dataset","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; 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":[0.001695067,0.001010057,0.001318168,0.002646977,0.0006669006,0.00144531,0.001488197,0.001045361,0.06877953],"category_scores_gemma":[0.009259041,0.0005315059,0.0006930765,0.006741684,0.000146858,0.001100181,0.001047136,0.001446045,0.07705509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729982,"about_ca_system_score_gemma":0.003418359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1012406,"about_ca_topic_score_gemma":0.09896939,"domain_scores_codex":[0.9986154,0.0002255872,0.0002327232,0.0002583402,0.00043472,0.0002332472],"domain_scores_gemma":[0.9964072,0.0004148229,0.0003379924,0.0002385911,0.002368382,0.000232925],"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":[0.00004600941,0.00001747353,0.002836694,0.0003122925,0.00002254447,0.00001634339,0.00003089939,0.00008714257,0.00001869562,0.0003038647,0.9914852,0.004822969],"study_design_scores_gemma":[0.0004488651,0.00007773277,0.1165005,0.0007426046,0.00007917411,0.00008774136,0.000527008,0.0004679854,0.00009829969,0.0007664621,0.8801594,0.00004432384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003688288,0.0001152726,0.00008388646,0.0001561435,0.00006318937,0.00006460729,0.997322,0.00004644944,0.001779629],"genre_scores_gemma":[0.001865143,0.0002455103,0.0002373043,0.0001874302,0.00004710387,0.0006065286,0.9912859,0.00003088788,0.005494162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1012406,"threshold_uncertainty_score":0.2300904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06113531056325734,"score_gpt":0.2971951411255861,"score_spread":0.2360598305623288,"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."}}