{"id":"W6930194720","doi":"10.5255/ukda-sn-7505-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2013","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Dental Erosion and Treatment","field":"Dentistry","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004037283,0.0008290875,0.0008935381,0.0001712131,0.0002413903,0.0004169124,0.003508109,0.0002191178,0.009177738],"category_scores_gemma":[0.0001748458,0.0007465416,0.0001619921,0.0002414223,0.0001965008,0.0003827994,0.004760057,0.001000083,0.08681315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007250073,"about_ca_system_score_gemma":0.0001626647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0161011,"about_ca_topic_score_gemma":0.0932456,"domain_scores_codex":[0.9951513,0.0005389776,0.0007489845,0.001968617,0.0008870207,0.0007051468],"domain_scores_gemma":[0.9931142,0.0005078511,0.0004448535,0.005336824,0.00004661745,0.0005496025],"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":[0.0002196559,0.0003058378,0.001085208,0.0001594276,0.0005150888,0.002279568,0.000007441004,0.000001720729,0.000006536422,0.00002436931,0.99528,0.0001150941],"study_design_scores_gemma":[0.001775766,0.0001249593,0.01711611,0.000103705,0.0003698326,0.0002524718,0.00002167838,0.00005687127,0.000007418266,0.00007981425,0.9793904,0.0007009985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005659351,0.0001867547,0.0001630182,0.0000769603,0.001502651,0.0006155118,0.9969268,0.00007121816,0.0004004284],"genre_scores_gemma":[0.0001994778,0.000255916,0.0003550893,0.0008301223,0.0005029983,0.0000497058,0.9957701,0.0000676835,0.001968891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07763541,"threshold_uncertainty_score":0.9994985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06311075982701565,"score_gpt":0.3349878148187205,"score_spread":0.2718770549917048,"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."}}