{"id":"W6892601299","doi":"10.5255/ukda-sn-8045-2","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2016","year":2017,"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; Survey data collection; Sample (material); Work (physics); Northern ireland; Work force; Data collection; Survey sampling","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":[0.002617989,0.001290369,0.001741679,0.00334865,0.0006687432,0.0017296,0.001841577,0.0009026023,0.1089161],"category_scores_gemma":[0.01413914,0.0007080983,0.0008857572,0.008067626,0.0002261396,0.001397574,0.001756385,0.001794896,0.1140515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788194,"about_ca_system_score_gemma":0.004307957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07079132,"about_ca_topic_score_gemma":0.06637259,"domain_scores_codex":[0.9979776,0.0003788088,0.0003970943,0.0003402934,0.0006027591,0.0003034716],"domain_scores_gemma":[0.9949431,0.0007288094,0.0004932904,0.0004742053,0.003092733,0.0002678715],"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":[0.00004189966,0.00001369755,0.001359744,0.000278929,0.00001749342,0.00001154785,0.00003815947,0.00005861644,0.00001421589,0.000388619,0.9936346,0.004142558],"study_design_scores_gemma":[0.0003244646,0.00004830247,0.04402566,0.000911307,0.00005689632,0.00005950793,0.0004563306,0.0002290751,0.000078333,0.001068712,0.9526961,0.00004539597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002498447,0.00007903222,0.0001114595,0.0001203379,0.00009561412,0.00007973963,0.9976234,0.000062696,0.001577891],"genre_scores_gemma":[0.001163294,0.0002276385,0.000305782,0.0001368578,0.00005711623,0.0007776157,0.9917789,0.00005519611,0.005497592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1089161,"threshold_uncertainty_score":0.3643607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07017247018535358,"score_gpt":0.3057145694637333,"score_spread":0.2355420992783797,"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."}}