{"id":"W3016227741","doi":"10.3389/fgene.2020.00309","title":"Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies","year":2020,"lang":"en","type":"editorial","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Omics; Computer science; Data science; Bioinformatics; Computational biology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003307154,0.0003049961,0.0005194307,0.00008950879,0.00006126548,0.00006817062,0.0002643988,0.0007965908,8.896167e-8],"category_scores_gemma":[0.0003999949,0.0003184196,0.0000574859,0.00007244036,0.0002162662,0.000008604314,0.000337897,0.0002539592,4.104511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005141427,"about_ca_system_score_gemma":0.0002317242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001578844,"about_ca_topic_score_gemma":0.00001760442,"domain_scores_codex":[0.9982939,0.00001824184,0.0009218076,0.0003330874,0.0001860197,0.0002468898],"domain_scores_gemma":[0.9988638,0.0001026561,0.0004411699,0.0002608676,0.0002510835,0.00008046541],"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":[0.0001561184,0.00001989738,0.00004360728,0.000781388,0.0001965533,1.180595e-7,0.001067081,0.0001383549,0.0002317308,0.00003718461,0.7070521,0.2902759],"study_design_scores_gemma":[0.0002719784,0.00028017,0.00000214453,0.00009128136,0.00007107309,4.381252e-7,0.001709139,0.01249877,0.005431968,0.002028774,0.9772117,0.0004025772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004323562,0.006117732,0.4137007,0.00003064986,0.5787446,0.0007110442,0.000243899,0.000006084696,0.00001286758],"genre_scores_gemma":[0.0008326137,0.01681447,0.3352335,0.00004867537,0.6450254,0.0001574602,0.001801768,0.00006528205,0.00002083819],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2898733,"threshold_uncertainty_score":0.9999268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546191595933849,"score_gpt":0.2654216962582576,"score_spread":0.2499597802989191,"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."}}