{"id":"W6929879189","doi":"10.5255/ukda-sn-8586-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2019","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Prenatal Screening and Diagnostics","field":"Medicine","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":["insufficient_payload"],"category_scores_codex":[0.0006051643,0.0006482344,0.001007004,0.0001795876,0.0001424836,0.0001263467,0.002091054,0.0002392238,0.0009763199],"category_scores_gemma":[0.002425007,0.0005761318,0.000109994,0.0002589913,0.0002154728,0.000219734,0.003323385,0.001481284,0.007580647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923347,"about_ca_system_score_gemma":0.0003998454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189683,"about_ca_topic_score_gemma":0.007848387,"domain_scores_codex":[0.9961072,0.0003262665,0.0006180845,0.001507649,0.0007397931,0.0007010394],"domain_scores_gemma":[0.9925718,0.001659654,0.000316365,0.004662422,0.00007105891,0.0007187079],"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":[0.0005509241,0.0001456953,0.001862466,0.000321268,0.0004229243,0.001101232,0.0000088969,0.000003237145,0.000004357968,0.00001791914,0.9953293,0.0002317334],"study_design_scores_gemma":[0.00182915,0.0003657485,0.02180678,0.0004148038,0.0006734906,0.0001896568,0.00001081412,0.0001650862,0.000005436672,0.00005887759,0.9738969,0.0005833227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001696281,0.0003814703,0.0008248584,0.0002881692,0.0004190785,0.0005901449,0.9969833,0.00007257411,0.0004233862],"genre_scores_gemma":[0.0001075828,0.0004719138,0.001623412,0.001921632,0.001183604,0.00001756619,0.9942777,0.00005595183,0.0003406744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02143251,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697473516406405,"score_gpt":0.3298883404675033,"score_spread":0.2729136053034393,"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."}}