{"id":"W6911136238","doi":"10.5255/ukda-sn-8045-3","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2016","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":[0.001709711,0.0009770915,0.001310174,0.002722852,0.00066484,0.001485798,0.001585498,0.0008642474,0.08392942],"category_scores_gemma":[0.01068516,0.0005093113,0.0007602448,0.006235441,0.00017313,0.001045697,0.001285899,0.001430872,0.09340298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395001,"about_ca_system_score_gemma":0.003161026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08884715,"about_ca_topic_score_gemma":0.1030923,"domain_scores_codex":[0.9984975,0.0002722142,0.0002761286,0.0002628847,0.0004645169,0.0002267424],"domain_scores_gemma":[0.9963664,0.0004217158,0.000401118,0.0002996426,0.002298772,0.0002123031],"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":[0.00004673274,0.00001924831,0.002779068,0.0002781266,0.00002068955,0.00001517304,0.00004902386,0.00008348271,0.00001362403,0.0003595508,0.9911465,0.005188716],"study_design_scores_gemma":[0.0003769037,0.00006062011,0.08291211,0.0007802624,0.00006614244,0.00007935738,0.000656091,0.0003463732,0.00007641075,0.0009111905,0.9136925,0.00004201155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005240536,0.0001366977,0.0001130207,0.0001684591,0.00008088694,0.00009641503,0.9960849,0.00007100065,0.002724502],"genre_scores_gemma":[0.002328637,0.0003189429,0.000291499,0.0001869813,0.00006879983,0.000714564,0.9883274,0.00004279663,0.007720383],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08884715,"threshold_uncertainty_score":0.2807719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05223618710771635,"score_gpt":0.2845065447755715,"score_spread":0.2322703576678551,"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."}}