{"id":"W6929961741","doi":"10.5255/ukda-sn-8105-4","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2016","year":2019,"lang":"en","type":"other","venue":"UK Data Archive","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","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":[0.001625993,0.0009718594,0.001293335,0.002741861,0.0006595615,0.001470781,0.001585283,0.0008559708,0.08223172],"category_scores_gemma":[0.01032267,0.0004985763,0.0007481117,0.006291077,0.0001759748,0.001017698,0.001288578,0.001378945,0.094437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137123,"about_ca_system_score_gemma":0.003088437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08617134,"about_ca_topic_score_gemma":0.1006896,"domain_scores_codex":[0.9985061,0.0002668211,0.0002766529,0.0002605207,0.0004629079,0.0002270928],"domain_scores_gemma":[0.9964575,0.0004115455,0.0004036769,0.0002859191,0.002233104,0.000208236],"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":[0.00004792767,0.00001973812,0.002884089,0.0002872675,0.0000206317,0.00001560196,0.00004929175,0.00008589898,0.00001425131,0.0003593794,0.9911847,0.00503119],"study_design_scores_gemma":[0.0003788764,0.00006223285,0.08487128,0.0007828177,0.00006413955,0.00008250051,0.0006605185,0.0003635923,0.00008268924,0.0008973081,0.9117122,0.00004187678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005306212,0.0001270079,0.0001046091,0.0001559892,0.00007429551,0.00008936479,0.9962655,0.00006897769,0.002583639],"genre_scores_gemma":[0.002303474,0.0002910621,0.0002717363,0.0001736131,0.00006442716,0.000673293,0.9888811,0.00004051595,0.00730085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08617134,"threshold_uncertainty_score":0.2750925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967884171115522,"score_gpt":0.2511471311830976,"score_spread":0.2214682894719424,"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."}}