{"id":"W6948576891","doi":"10.5255/ukda-sn-8809-3","title":"Quarterly Labour Force Survey Household Dataset, January - March, 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; 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":[0.001644978,0.0009865669,0.001325224,0.002642659,0.0006719566,0.001377882,0.001513005,0.001070111,0.06017383],"category_scores_gemma":[0.009269432,0.0005277248,0.0006971107,0.006915175,0.0001544261,0.001102547,0.0010292,0.001460293,0.06652443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844103,"about_ca_system_score_gemma":0.003507343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162297,"about_ca_topic_score_gemma":0.1157796,"domain_scores_codex":[0.9985787,0.0002288707,0.0002394835,0.0002667436,0.0004490165,0.0002371688],"domain_scores_gemma":[0.9964882,0.0003978896,0.0003403816,0.000221419,0.002325069,0.0002270865],"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":[0.00005315311,0.00002010512,0.003461237,0.0003789558,0.00002785708,0.00001939104,0.00003696596,0.0001014672,0.00002112386,0.0003376522,0.9904113,0.005130855],"study_design_scores_gemma":[0.0004998241,0.0000866632,0.1383629,0.0008086319,0.00008993063,0.00009684505,0.0005943518,0.0005072301,0.0001038161,0.0007754269,0.858026,0.00004827266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004407861,0.0001284965,0.00008385084,0.0001576792,0.00006185799,0.00007130153,0.9973074,0.00004565526,0.00170295],"genre_scores_gemma":[0.002265733,0.0002730372,0.0002577684,0.0002050612,0.00004840601,0.0006848054,0.9907616,0.00002928439,0.005474406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1162297,"threshold_uncertainty_score":0.2311063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06041954056773727,"score_gpt":0.298113128465706,"score_spread":0.2376935878979687,"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."}}