{"id":"W3151791879","doi":"10.14778/3447689.3447713","title":"FREDE","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009441232,0.00006246824,0.00006389571,0.000009670089,0.00004153053,0.00001325706,0.0001323818,0.00004406875,0.00001566676],"category_scores_gemma":[0.00008647285,0.00004646856,0.00007396725,0.00007175437,0.00002751901,0.000001481955,0.0001638142,0.0000346277,0.000001921652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007437804,"about_ca_system_score_gemma":0.00002651203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004291655,"about_ca_topic_score_gemma":0.000002479556,"domain_scores_codex":[0.999506,0.000003864516,0.0001203932,0.0001497389,0.0001202669,0.00009972723],"domain_scores_gemma":[0.9996397,0.000002780051,0.00007484828,0.00009961267,0.0001565174,0.00002648403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005909965,0.00003200573,0.006270224,0.00001434306,0.00001878242,1.029272e-7,0.00002823292,0.000008634661,0.9911825,0.0008348494,0.0006224221,0.0009819835],"study_design_scores_gemma":[0.0001664014,0.00003878916,0.003525493,0.000009608531,0.00001152556,0.000002649331,0.00005221244,0.000006740535,0.9704068,0.001198417,0.02452729,0.00005402977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816542,0.00123667,0.00005222753,0.0003941248,0.0001367233,0.00008704636,0.00000404962,0.000003799032,0.01643118],"genre_scores_gemma":[0.9969527,0.0002589999,0.001012907,0.0000862952,0.00009744795,0.000009574878,0.000005189393,0.000008070748,0.001568816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02390486,"threshold_uncertainty_score":0.1894933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007135979711530603,"score_gpt":0.2211063775302785,"score_spread":0.2139703978187479,"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."}}