{"id":"W6967571039","doi":"10.5255/ukda-sn-6702-31","title":"Monthly Wages and Salaries Survey, 2000-2022: Secure Access","year":2023,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Index (typography); Stratified sampling; Quarter (Canadian coin); Cover (algebra); Business information; Key (lock)","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":[0.001677406,0.0008869983,0.0005846739,0.00363678,0.0004213033,0.001157825,0.001214216,0.0007232322,0.03912435],"category_scores_gemma":[0.005700915,0.0005350903,0.0003490574,0.009557602,0.0001528196,0.001275793,0.001084412,0.001073911,0.05311412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513376,"about_ca_system_score_gemma":0.002051195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0623078,"about_ca_topic_score_gemma":0.06725937,"domain_scores_codex":[0.998661,0.0001674016,0.0002397766,0.000202124,0.0005312659,0.000198339],"domain_scores_gemma":[0.9957168,0.0003491658,0.0007392889,0.0002774732,0.002533571,0.000383671],"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":[0.0002566406,0.0001859136,0.03115762,0.0004066629,0.00002959928,0.00004115431,0.0001263536,0.000287389,0.0001689484,0.0004550552,0.9467348,0.02014986],"study_design_scores_gemma":[0.0002923242,0.0001283249,0.5326982,0.0002712427,0.00002679108,0.00006823899,0.0003852419,0.0007850662,0.0002855076,0.0004016352,0.4646192,0.00003820814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003977408,0.00007729427,0.0001513028,0.0001578336,0.00004157673,0.0002249169,0.9866084,0.0001445607,0.008616781],"genre_scores_gemma":[0.008918604,0.0001950179,0.0005562407,0.0002401901,0.00005385671,0.001014618,0.9702978,0.00006838926,0.01865521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0623078,"threshold_uncertainty_score":0.1308839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0793892281438288,"score_gpt":0.345506238286356,"score_spread":0.2661170101425271,"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."}}