{"id":"W6892349343","doi":"10.5255/ukda-sn-8042-3","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, April 2015 - June 2016","year":2017,"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); Sample (material); Unemployment; Survey data collection; Work (physics); Data collection; Longitudinal study; Longitudinal data","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":[0.002241153,0.001027008,0.001281058,0.002198921,0.0008414004,0.001423671,0.001710188,0.001075401,0.0666248],"category_scores_gemma":[0.01404312,0.0006337702,0.0008405834,0.005110342,0.0002103868,0.001183881,0.001438905,0.001427501,0.05991289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858758,"about_ca_system_score_gemma":0.003962931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1266806,"about_ca_topic_score_gemma":0.1480931,"domain_scores_codex":[0.9980832,0.0003860279,0.0003789694,0.0003553218,0.0004889139,0.000307545],"domain_scores_gemma":[0.9959061,0.0004244302,0.0005171008,0.000332089,0.002580525,0.000239616],"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":[0.0001043466,0.00002469222,0.005337838,0.000451798,0.00003638886,0.00002071025,0.00007292797,0.0001179749,0.00002002173,0.0004074295,0.9881771,0.00522868],"study_design_scores_gemma":[0.0008118357,0.000127553,0.1367241,0.001429092,0.0001453825,0.0001045312,0.0008915229,0.0004584545,0.0001141103,0.001164634,0.8579624,0.00006637296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000818407,0.0001929001,0.000120706,0.0002336348,0.00009061211,0.0001068464,0.996169,0.00006400378,0.002204017],"genre_scores_gemma":[0.004416906,0.0003984457,0.0003240272,0.0003219754,0.00008926058,0.001264711,0.983957,0.0000486118,0.009179235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1266806,"threshold_uncertainty_score":0.2518864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06846073737796701,"score_gpt":0.3545837315687658,"score_spread":0.2861229941907988,"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."}}