{"id":"W6892456834","doi":"10.5255/ukda-sn-8738-3","title":"Quarterly Labour Force Survey, August - October, 2020","year":2021,"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; Current Population Survey; Documentation; Population; Work (physics); Sample (material); Work force; Data collection","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":[0.001844721,0.0009776489,0.001120305,0.002151269,0.0007222298,0.001581951,0.001372684,0.001205374,0.06137842],"category_scores_gemma":[0.006397135,0.0005684976,0.0005875049,0.004331993,0.0001691762,0.001479258,0.0009409766,0.001723196,0.09121203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222772,"about_ca_system_score_gemma":0.004404571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09228317,"about_ca_topic_score_gemma":0.1056169,"domain_scores_codex":[0.9984875,0.0001905238,0.0002132948,0.0002605899,0.0006018543,0.0002462204],"domain_scores_gemma":[0.9970843,0.0002427509,0.0002042162,0.0001130709,0.002095446,0.0002602912],"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":[0.00007157453,0.00003152261,0.005221619,0.0004349082,0.00002022792,0.0000200691,0.00004388795,0.00005672112,0.00004452984,0.0003323588,0.9780962,0.01562643],"study_design_scores_gemma":[0.0001904055,0.00009238263,0.1629516,0.0007560598,0.00004423091,0.00007691735,0.0003502282,0.0001937891,0.00007331872,0.0003307635,0.8349086,0.00003168172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001184346,0.0009020807,0.0001780842,0.0008942838,0.00067311,0.0002707106,0.9781794,0.0001165707,0.0176015],"genre_scores_gemma":[0.006535728,0.002049085,0.0006188134,0.001335798,0.000289418,0.00203495,0.9421235,0.00008170764,0.04493102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09228317,"threshold_uncertainty_score":0.2053313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03840807432698314,"score_gpt":0.3026335773526863,"score_spread":0.2642255030257031,"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."}}