{"id":"W6911315720","doi":"10.5255/ukda-sn-7728-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2014 - March 2015","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.00346349,0.00187079,0.001970634,0.0008166471,0.0004227001,0.0007133894,0.01334381,0.0004225027,0.007645372],"category_scores_gemma":[0.001860735,0.001853067,0.0002061775,0.0008562331,0.0008344935,0.001176426,0.01532644,0.003531534,0.2499172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788645,"about_ca_system_score_gemma":0.001003579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03650347,"about_ca_topic_score_gemma":0.1115745,"domain_scores_codex":[0.9865606,0.002875626,0.001528689,0.004696826,0.002181379,0.00215681],"domain_scores_gemma":[0.9797881,0.0021694,0.001070693,0.01549792,0.0002058641,0.001267996],"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":[0.0009883053,0.000268001,0.0009348033,0.0003517072,0.0009553955,0.0009656246,0.00002249433,0.000007872858,0.00003597111,0.0000417185,0.9953858,0.00004235281],"study_design_scores_gemma":[0.001908347,0.0002292133,0.0129222,0.0001722168,0.0006504394,0.0001622667,0.00002180431,0.0002037644,0.000002885145,0.0002255221,0.9815488,0.001952521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006852462,0.0002873032,0.0003682901,0.0003476661,0.0008050769,0.001524701,0.996353,0.0001743865,0.0001326833],"genre_scores_gemma":[0.00002340639,0.0003475667,0.001499967,0.0009882518,0.00188284,0.0001045704,0.9945192,0.0003954296,0.0002387694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2422719,"threshold_uncertainty_score":0.9994037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991510829033552,"score_gpt":0.3497777570276703,"score_spread":0.2798626487373347,"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."}}