{"id":"W6930031612","doi":"10.5255/ukda-sn-8106-4","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2016","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Animal Genetics and Reproduction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004380067,0.0004804446,0.0003997738,0.00006563916,0.0001511116,0.00009390756,0.00179113,0.0002483799,0.0002145392],"category_scores_gemma":[0.0002201339,0.0004329221,0.00009014683,0.0001053642,0.0001927564,0.000008860889,0.002743617,0.0004412349,0.001045477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009744935,"about_ca_system_score_gemma":0.0002527257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101811,"about_ca_topic_score_gemma":0.003481503,"domain_scores_codex":[0.9967217,0.0002565516,0.0004183295,0.001869897,0.0002847227,0.0004488272],"domain_scores_gemma":[0.995801,0.00003681304,0.0002751411,0.003585547,0.0000729343,0.0002285221],"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":[0.0002299411,0.00006649292,0.0001453776,0.00008137435,0.0002717238,0.00002640872,0.000002816219,0.00000881316,0.005046954,0.000003268395,0.9939801,0.0001366951],"study_design_scores_gemma":[0.0004383898,0.0003496256,0.002030366,0.00002923225,0.0001279199,0.00004669265,0.000008823768,0.00002368206,0.0004578376,0.00003172009,0.9959127,0.0005430566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001494307,0.0006034233,0.0009641615,0.00009111553,0.0004915756,0.0003303264,0.9972382,0.00001003572,0.0001217847],"genre_scores_gemma":[0.0004018072,0.001803476,0.0005130016,0.0004155163,0.002199794,0.00001643412,0.9937871,0.00004544891,0.0008174807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004589117,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632908072311611,"score_gpt":0.3009985256706176,"score_spread":0.2646694449475014,"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."}}