{"id":"W6949145063","doi":"10.5255/ukda-sn-8330-2","title":"Quarterly Labour Force Survey Household Dataset, October - December, 2017","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":[0.001611634,0.0009578217,0.001314066,0.0029643,0.0006569455,0.001564332,0.001614872,0.0008870038,0.08402819],"category_scores_gemma":[0.01000397,0.0005035443,0.0007318237,0.006977203,0.0001782232,0.001041023,0.001315662,0.001479497,0.100033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412329,"about_ca_system_score_gemma":0.003148724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08615966,"about_ca_topic_score_gemma":0.09237622,"domain_scores_codex":[0.9985273,0.0002722761,0.0002561705,0.0002501297,0.000457705,0.0002364333],"domain_scores_gemma":[0.9964029,0.000429712,0.000385119,0.0002863015,0.002284848,0.0002111989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004184362,0.00001945013,0.00251362,0.0002477209,0.00001931842,0.00001481692,0.00004241619,0.00008072257,0.00001211847,0.0003444294,0.9919601,0.004703281],"study_design_scores_gemma":[0.0003782042,0.00005752641,0.07779947,0.0007067315,0.00005847479,0.00007549195,0.0006613162,0.0003845399,0.00007819846,0.0008916303,0.9188681,0.00004045952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005129408,0.0001233196,0.0001068125,0.0001735059,0.00008214275,0.00009468297,0.9962811,0.00007340393,0.002552129],"genre_scores_gemma":[0.002111789,0.0002756088,0.0002586013,0.0001773213,0.0000687201,0.0006974588,0.989477,0.00004185483,0.006891617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08615966,"threshold_uncertainty_score":0.2811023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07656173520151939,"score_gpt":0.3114332497530178,"score_spread":0.2348715145514984,"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."}}