{"id":"W6948776835","doi":"10.5255/ukda-sn-8707-1","title":"Quarterly Labour Force Survey, May - July, 2020","year":2021,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Current Population Survey; Documentation; Work (physics); Population; Sample (material); Data collection; Work force","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004945903,0.000356075,0.000440018,0.0001156729,0.0002802607,0.0002624287,0.002604386,0.0001864958,0.02494455],"category_scores_gemma":[0.0001199885,0.0003364275,0.00008723446,0.0002199658,0.0001847989,0.0003023256,0.0002838479,0.0006459063,0.007522309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003845634,"about_ca_system_score_gemma":0.0002306926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05248389,"about_ca_topic_score_gemma":0.1975046,"domain_scores_codex":[0.9973866,0.0004675471,0.0002902776,0.0009789654,0.0003810356,0.0004955358],"domain_scores_gemma":[0.9967229,0.0007353991,0.0001855329,0.00205886,0.00003207264,0.0002652573],"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":[0.00006147136,0.00001708751,0.009949942,0.00006369579,0.0001027267,0.0003622456,0.0000356618,0.00000302373,9.43399e-8,5.128663e-7,0.9860746,0.003328992],"study_design_scores_gemma":[0.0002269647,0.0001140284,0.07444774,0.00003704791,0.00006352847,0.00004084106,0.00008747982,0.0000463394,3.570658e-7,0.00006313672,0.924477,0.0003954666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002517103,0.0003510896,0.00004261218,0.0000831997,0.0009769748,0.0002060145,0.9969156,0.00002215616,0.001150628],"genre_scores_gemma":[0.0002337102,0.0003451842,0.00061882,0.0005700054,0.00043776,6.879638e-7,0.9973155,0.000003663785,0.0004747028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1450207,"threshold_uncertainty_score":0.9999088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06695302315405356,"score_gpt":0.2339715860560268,"score_spread":0.1670185629019733,"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."}}