{"id":"W6911297351","doi":"10.5255/ukda-sn-8296-2","title":"Quarterly Labour Force Survey Household Dataset, July - September, 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":[0.001563568,0.0009516318,0.001292981,0.00298896,0.0006612241,0.001616279,0.001637486,0.0008795346,0.09106297],"category_scores_gemma":[0.01004442,0.000491229,0.0007387583,0.007001325,0.0001826832,0.00104136,0.001344041,0.001430608,0.1073765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390506,"about_ca_system_score_gemma":0.003220762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08461926,"about_ca_topic_score_gemma":0.09149451,"domain_scores_codex":[0.9984937,0.0002737468,0.0002614156,0.0002503559,0.000480321,0.000240599],"domain_scores_gemma":[0.9963322,0.0004458735,0.0003882131,0.0002914713,0.002329463,0.0002127246],"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":[0.00003994344,0.00001801757,0.00226763,0.0002484639,0.00001808102,0.00001441517,0.00004006403,0.00007827641,0.00001118728,0.000332627,0.9924667,0.00446446],"study_design_scores_gemma":[0.0003488143,0.00005255817,0.06966938,0.0007349194,0.00005466885,0.00007368708,0.0006379321,0.0003619828,0.00007496971,0.000853461,0.927099,0.00003858683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004829274,0.0001248408,0.0001037748,0.0001700821,0.00008437203,0.0000914312,0.9961026,0.0000743814,0.002765643],"genre_scores_gemma":[0.001992532,0.0002738432,0.0002367977,0.0001670848,0.00006783636,0.0006590359,0.9897044,0.00004282128,0.006855664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09106297,"threshold_uncertainty_score":0.3046359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792857731515208,"score_gpt":0.3106125393501909,"score_spread":0.2313267661986701,"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."}}