{"id":"W6911035036","doi":"10.5255/ukda-sn-8389-1","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2018","year":2018,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Work (physics); Sample (material); Survey data collection; Northern ireland; Data collection; Work force; Spring (device)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001632591,0.001165581,0.001113174,0.0008829165,0.000181526,0.0003003574,0.007731396,0.0004308253,0.01175143],"category_scores_gemma":[0.0003549417,0.001135266,0.00009650178,0.0005182575,0.0009657624,0.0004273294,0.002441866,0.0007369455,0.1226921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007396142,"about_ca_system_score_gemma":0.0003957723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03364662,"about_ca_topic_score_gemma":0.2061194,"domain_scores_codex":[0.9932241,0.001091404,0.000699408,0.002664516,0.0009931591,0.001327395],"domain_scores_gemma":[0.9847016,0.0004869294,0.0009274064,0.01333913,0.00004135414,0.0005035587],"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":[0.0001483949,0.0001372021,0.0004562144,0.0001179608,0.0004946864,0.00006828753,0.0000994988,2.238832e-7,0.0001028589,0.0003165826,0.9977276,0.0003304482],"study_design_scores_gemma":[0.0009515539,0.0001838358,0.00366106,0.0003153855,0.0001786006,0.00002963802,0.0000290735,0.00006308975,0.000005103356,0.0003578461,0.9929433,0.001281448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002135416,0.0002801835,0.001587868,0.00001880717,0.001405608,0.0008956204,0.8356583,0.0006923908,0.1594399],"genre_scores_gemma":[0.00001952403,0.0000741102,0.003902194,0.0001728332,0.001517764,0.00002452701,0.5511214,0.002414225,0.4407535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2845369,"threshold_uncertainty_score":0.9991097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571416171747417,"score_gpt":0.2953472909177665,"score_spread":0.2296331292002923,"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."}}