{"id":"W6930176239","doi":"10.5255/ukda-sn-8701-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2019","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Cellular transport and secretion","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; Longitudinal data","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":[0.001959433,0.00096974,0.001192721,0.002467794,0.00088727,0.001385516,0.001737023,0.001264984,0.05615865],"category_scores_gemma":[0.01058855,0.0006458957,0.0007180995,0.006785975,0.0001794369,0.001024895,0.001367679,0.001543811,0.0614855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087964,"about_ca_system_score_gemma":0.0039988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1536628,"about_ca_topic_score_gemma":0.1832048,"domain_scores_codex":[0.9982371,0.0003000427,0.0003175741,0.000320542,0.0004755972,0.0003490711],"domain_scores_gemma":[0.995789,0.0004089073,0.0004564702,0.0003434772,0.002717808,0.00028446],"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":[0.0001260352,0.00003661784,0.007133129,0.0003862607,0.00003725292,0.00002483113,0.00005519666,0.0001173846,0.00003950348,0.0002965758,0.9871292,0.004618117],"study_design_scores_gemma":[0.001005311,0.000170822,0.2359665,0.0009224729,0.0001240385,0.000116816,0.0008048391,0.000642897,0.0001658398,0.0007028473,0.7593105,0.00006700092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008054152,0.0001039528,0.00007866399,0.0001896834,0.00005563699,0.0000835696,0.9969463,0.00004735243,0.001689519],"genre_scores_gemma":[0.003474602,0.0001888936,0.0002157267,0.0002438418,0.00004694392,0.001000559,0.9882137,0.00003314112,0.006582594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1536628,"threshold_uncertainty_score":0.3055366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824978708803431,"score_gpt":0.2820834366267838,"score_spread":0.2538336495387494,"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."}}