{"id":"W6948604637","doi":"10.5255/ukda-sn-8679-4","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2020","year":2022,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Medical History and Research","field":"Arts and Humanities","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; Data source","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":[0.001660627,0.001015884,0.001288747,0.00251989,0.0006144116,0.001396666,0.001404053,0.001015653,0.06092969],"category_scores_gemma":[0.00818944,0.0005092827,0.0007207292,0.006180052,0.0001471502,0.001111337,0.001027676,0.001329723,0.06854807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672849,"about_ca_system_score_gemma":0.003515671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1087737,"about_ca_topic_score_gemma":0.1042871,"domain_scores_codex":[0.9987293,0.0001896967,0.0002116585,0.000238108,0.0004111447,0.0002201123],"domain_scores_gemma":[0.9969366,0.0003273389,0.0002861267,0.0001862373,0.002034538,0.0002292294],"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":[0.0000434361,0.00001411524,0.002395215,0.0003186552,0.00002430608,0.0000159681,0.0000254448,0.0000792444,0.00001893949,0.000300655,0.9920973,0.004666741],"study_design_scores_gemma":[0.0004119056,0.0000737356,0.104464,0.0006750604,0.00008601414,0.00008988152,0.0004382206,0.0004396767,0.00009816999,0.0007827865,0.8923967,0.0000438002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003327411,0.000124789,0.00008114469,0.0001509679,0.00006577315,0.0000515757,0.9975031,0.00005014296,0.00163988],"genre_scores_gemma":[0.001862497,0.0002616518,0.0002557782,0.0002136314,0.00004932052,0.0005169745,0.9917481,0.00003076863,0.005061343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1087737,"threshold_uncertainty_score":0.2162812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079528126553163,"score_gpt":0.295785333575082,"score_spread":0.1878325209197657,"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."}}