{"id":"W6948874405","doi":"10.5255/ukda-sn-8827-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2021","year":2023,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Unemployment; Survey data collection; Work (physics); Data collection; Longitudinal study; 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":[],"category_scores_codex":[0.0006209833,0.0005587426,0.0005170148,0.0001175935,0.0002137723,0.00009549701,0.002375861,0.0002264465,0.00007326222],"category_scores_gemma":[0.0002913237,0.0005429103,0.0001015999,0.0001487334,0.0002138759,0.000002523534,0.004913479,0.0003833439,0.001150222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103412,"about_ca_system_score_gemma":0.0002101222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00490797,"about_ca_topic_score_gemma":0.04590562,"domain_scores_codex":[0.9968034,0.0002650437,0.0004618127,0.001568944,0.0002688963,0.0006318892],"domain_scores_gemma":[0.9951916,0.0001661937,0.0002378939,0.004158481,0.00006998123,0.0001758311],"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":[0.00010159,0.00005291839,0.000579565,0.00006221916,0.000583958,0.00005583809,0.000005232695,0.00001163653,0.001180969,0.000005850226,0.9972358,0.0001243722],"study_design_scores_gemma":[0.0005115619,0.0001519403,0.01294101,0.00003091214,0.0001434331,0.00002156819,0.00002610898,0.00001183397,0.00008020486,0.0001116705,0.9853495,0.0006202488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006888926,0.001054096,0.00009587162,0.0000861421,0.001001038,0.0003617795,0.9966244,0.00000404297,0.00008370915],"genre_scores_gemma":[0.0001919688,0.004639515,0.0003337715,0.0002802162,0.001275389,0.00004350593,0.9924392,0.00005133082,0.000745145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04099765,"threshold_uncertainty_score":0.9997022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546918756421637,"score_gpt":0.3005241303979551,"score_spread":0.2650549428337388,"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."}}