{"id":"W6930065834","doi":"10.5255/ukda-sn-8966-3","title":"Quarterly Labour Force Survey Household Dataset, January - March, 2022","year":2023,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Advanced Authentication Protocols Security","field":"Computer Science","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","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":["open_science"],"category_scores_codex":[0.001810593,0.0006549075,0.0006512644,0.0004683076,0.0003420943,0.0005023231,0.01795578,0.0002080333,0.00006436176],"category_scores_gemma":[0.0005945244,0.0006799294,0.00008225071,0.0009394245,0.0002525939,0.00141091,0.009518671,0.001341866,0.004135487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006697376,"about_ca_system_score_gemma":0.0004490081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004914782,"about_ca_topic_score_gemma":0.008080589,"domain_scores_codex":[0.9936539,0.0009608456,0.0008372078,0.002549274,0.001062128,0.0009366641],"domain_scores_gemma":[0.9832902,0.001591625,0.0006271451,0.01406375,0.00006822657,0.0003590631],"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":[0.00002372272,0.0001127579,0.00001159115,0.0001618015,0.00006990116,0.000134227,0.0000620167,0.000005098658,0.000006810874,0.002491948,0.9956804,0.00123971],"study_design_scores_gemma":[0.000405755,0.0001555225,0.002305566,0.0001042141,0.00002746588,0.00002387728,0.00001321201,0.00153898,0.000003323903,0.03289308,0.9617655,0.0007635372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001277463,0.0000379809,0.1759456,0.0001601851,0.0006582733,0.004079404,0.8188705,0.0002368643,0.000009898648],"genre_scores_gemma":[0.000002965758,0.0001260008,0.008541516,0.0005437807,0.0002293615,0.001451047,0.9887483,0.000055142,0.0003019247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1698777,"threshold_uncertainty_score":0.9995652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06313422684113178,"score_gpt":0.3262170765070862,"score_spread":0.2630828496659544,"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."}}