{"id":"W6948619524","doi":"10.5255/ukda-sn-8672-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2020","year":2021,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.002905837,0.00176777,0.001949564,0.0006353855,0.0004821089,0.0007989637,0.01078166,0.0004258006,0.005457697],"category_scores_gemma":[0.002191228,0.001824899,0.0002280684,0.001270637,0.0006885577,0.001251819,0.01429243,0.003138687,0.04507059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586755,"about_ca_system_score_gemma":0.001283665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02347765,"about_ca_topic_score_gemma":0.2329526,"domain_scores_codex":[0.9872214,0.002811539,0.001510778,0.004655744,0.001841772,0.001958735],"domain_scores_gemma":[0.9769905,0.002121565,0.001044504,0.01876066,0.0002173324,0.0008653972],"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":[0.0004299798,0.000392242,0.0006040151,0.0003425667,0.00110415,0.003538568,0.00001811769,0.00001187983,0.00003931338,0.00002559095,0.9934458,0.00004774435],"study_design_scores_gemma":[0.001588676,0.00009845771,0.01073379,0.0003531641,0.0007454531,0.0004296507,0.00005296134,0.0001311415,0.000006332004,0.0001553262,0.983798,0.001907073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001895659,0.0007958212,0.0002142599,0.0001330668,0.001610743,0.00106308,0.9958085,0.0001263335,0.0002292686],"genre_scores_gemma":[0.000009807292,0.0006407602,0.001537576,0.0007026949,0.001842771,0.00009173639,0.9943323,0.0002918124,0.0005505878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.209475,"threshold_uncertainty_score":0.9995068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05088874238086804,"score_gpt":0.3269126922339577,"score_spread":0.2760239498530896,"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."}}