{"id":"W6948513386","doi":"10.5255/ukda-sn-8482-1","title":"Quarterly Labour Force Survey Household Dataset, January - March, 2019","year":2020,"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":[0.001547995,0.000983834,0.00121257,0.002976657,0.0007023323,0.001436636,0.001509958,0.001016254,0.06856657],"category_scores_gemma":[0.009798984,0.0004848278,0.0007119814,0.007450887,0.0001716323,0.001076178,0.001207778,0.001362994,0.07852558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773392,"about_ca_system_score_gemma":0.003206904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109063,"about_ca_topic_score_gemma":0.11858,"domain_scores_codex":[0.9984846,0.0002368377,0.0002842508,0.0002828754,0.0004580889,0.0002533685],"domain_scores_gemma":[0.9964593,0.000402775,0.0003732048,0.0002646163,0.002279493,0.0002205367],"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":[0.00005791136,0.00002013408,0.003437527,0.0003245407,0.00002494926,0.00001895418,0.00004018065,0.00008267154,0.00002339099,0.0003380413,0.9908475,0.004784251],"study_design_scores_gemma":[0.0004701823,0.00007622004,0.1290231,0.000672048,0.00007359008,0.00008812906,0.0005935751,0.0004024357,0.0001041288,0.000771317,0.8676781,0.0000470266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004669187,0.0001027681,0.00008131768,0.0001499806,0.00005969869,0.00007567082,0.997041,0.00005137277,0.001971314],"genre_scores_gemma":[0.002235619,0.000218737,0.0002325791,0.0001981372,0.00005039776,0.0007287621,0.9901209,0.00003343533,0.006181528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.109063,"threshold_uncertainty_score":0.229378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05678025542033017,"score_gpt":0.2846884502659057,"score_spread":0.2279081948455755,"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."}}