{"id":"W6892306458","doi":"10.5255/ukda-sn-7921-3","title":"Quarterly Labour Force Survey Household Dataset, October - December, 2015","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":[0.001752934,0.0009185756,0.001280111,0.002708113,0.000646199,0.001387213,0.001518917,0.0008431041,0.06788957],"category_scores_gemma":[0.01047053,0.0005245269,0.0007374792,0.006112142,0.0001700022,0.00101721,0.001240991,0.001358393,0.07733937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487595,"about_ca_system_score_gemma":0.003041944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09588814,"about_ca_topic_score_gemma":0.1080335,"domain_scores_codex":[0.9984882,0.0002716782,0.0002786242,0.0002653767,0.0004673858,0.0002286604],"domain_scores_gemma":[0.9963514,0.0004236869,0.0004143047,0.0002795138,0.002320804,0.0002103135],"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":[0.00004600372,0.00002102942,0.00324834,0.0002823966,0.00002345241,0.00001543498,0.0000500867,0.00009514907,0.00001511709,0.0003880431,0.9908094,0.005005514],"study_design_scores_gemma":[0.0004140977,0.00007525101,0.1141017,0.0007621821,0.00007842565,0.00008708374,0.0006734356,0.0004439234,0.00009165373,0.0009395233,0.882285,0.00004764929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00057213,0.0001306415,0.0001157436,0.0001599014,0.00007074582,0.00009433268,0.9965001,0.00006887258,0.002287466],"genre_scores_gemma":[0.002544328,0.0002827857,0.0003120352,0.0002006544,0.00006077506,0.0006783663,0.9895182,0.00003500398,0.006367845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09588814,"threshold_uncertainty_score":0.2271132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06263231101716149,"score_gpt":0.3115587029073646,"score_spread":0.2489263918902031,"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."}}