{"id":"W6892576517","doi":"10.5255/ukda-sn-6948-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2011","year":2015,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002054755,0.0009351377,0.001338059,0.002157324,0.0009619697,0.00142135,0.001762311,0.001269294,0.05650884],"category_scores_gemma":[0.0109186,0.0007553721,0.0008371426,0.005564035,0.0001964653,0.001026333,0.001410781,0.001872311,0.05730512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967053,"about_ca_system_score_gemma":0.00389079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1328739,"about_ca_topic_score_gemma":0.176672,"domain_scores_codex":[0.9983005,0.0003339656,0.0003028301,0.0003096546,0.0004329043,0.0003201368],"domain_scores_gemma":[0.9959323,0.0004519161,0.0005058952,0.0003606489,0.002492003,0.0002572734],"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":[0.00009566273,0.00003545227,0.005628127,0.0004237174,0.00004152719,0.00002246512,0.00007245456,0.0001313546,0.0000233787,0.0003128504,0.9888785,0.004334443],"study_design_scores_gemma":[0.0009531078,0.000176367,0.2193125,0.001190063,0.0001725725,0.0001399008,0.001045219,0.000602674,0.0001365979,0.0007734717,0.7754087,0.00008887814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009771972,0.0001420464,0.0001051671,0.000236135,0.00006081314,0.0001217814,0.9963996,0.00005493265,0.001902307],"genre_scores_gemma":[0.004049821,0.0003000431,0.0003181921,0.0003063545,0.00006049784,0.001384479,0.9860311,0.00003594634,0.007513588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1328739,"threshold_uncertainty_score":0.264201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09744020688268117,"score_gpt":0.3458861182885669,"score_spread":0.2484459114058857,"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."}}