{"id":"W6911460492","doi":"10.5255/ukda-sn-8249-2","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2017","year":2019,"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":[0.001654394,0.0009612024,0.001311867,0.00293911,0.0006730436,0.001605147,0.00162922,0.0009013677,0.09256226],"category_scores_gemma":[0.01041521,0.0005018117,0.0007459205,0.006826331,0.0001794611,0.001063644,0.001343377,0.001497044,0.105507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399948,"about_ca_system_score_gemma":0.00330819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08473905,"about_ca_topic_score_gemma":0.09104981,"domain_scores_codex":[0.9984861,0.0002791494,0.0002630228,0.0002527108,0.0004774671,0.0002416392],"domain_scores_gemma":[0.9962466,0.0004567247,0.0003898083,0.0003038318,0.002383599,0.0002194619],"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":[0.00003952138,0.00001762851,0.002172454,0.0002452325,0.00001819901,0.00001437225,0.00004060057,0.00007597594,0.00001114226,0.0003319601,0.9924851,0.004547847],"study_design_scores_gemma":[0.0003477896,0.00005207083,0.06858174,0.0007428388,0.00005589844,0.00007217863,0.0006428572,0.0003385689,0.00006916868,0.0008669328,0.9281906,0.00003931124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004692277,0.0001302588,0.0001110321,0.0001804109,0.00008919812,0.0001007518,0.9959829,0.00007497487,0.00286127],"genre_scores_gemma":[0.002015466,0.0002948075,0.0002556295,0.0001826529,0.00007080963,0.0007342995,0.9891726,0.00004503059,0.007228673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09256226,"threshold_uncertainty_score":0.3096516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07228567002707656,"score_gpt":0.3001885282624931,"score_spread":0.2279028582354166,"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."}}