{"id":"W6892290086","doi":"10.5255/ukda-sn-8155-3","title":"Quarterly Labour Force Survey Household Dataset, October - December, 2016","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":[0.001671217,0.00098287,0.001325121,0.002731747,0.0006542722,0.001457242,0.001571283,0.0008700386,0.07777487],"category_scores_gemma":[0.01024611,0.0005131285,0.0007516806,0.006343287,0.0001717575,0.001026849,0.001268043,0.001438738,0.09044296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138654,"about_ca_system_score_gemma":0.003005509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08699491,"about_ca_topic_score_gemma":0.1009144,"domain_scores_codex":[0.9985306,0.0002661935,0.0002716175,0.0002616296,0.0004453109,0.0002246379],"domain_scores_gemma":[0.9965353,0.0003963672,0.0003992239,0.000280609,0.00218248,0.0002059309],"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":[0.00004983918,0.00002126464,0.00316307,0.0002861918,0.00002197447,0.00001589598,0.00005111469,0.00008828188,0.00001516541,0.0003684532,0.9906273,0.005291433],"study_design_scores_gemma":[0.00041113,0.00006753513,0.09358407,0.0007535561,0.00006818768,0.00008448826,0.0006726822,0.0003879117,0.00008543023,0.0009344978,0.9029069,0.00004367117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000562727,0.00012835,0.0001083805,0.0001621003,0.00007462451,0.00009269943,0.9963492,0.00006961848,0.002452336],"genre_scores_gemma":[0.002415569,0.0002984611,0.0002969289,0.0001853755,0.00006723563,0.0007090125,0.9885544,0.00004025124,0.007432667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08699491,"threshold_uncertainty_score":0.2601829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540162925850539,"score_gpt":0.2954942253587403,"score_spread":0.2400925961002349,"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."}}