{"id":"W3083492217","doi":"10.1093/bfgp/elaa016","title":"Depositing annotated sequences in GenBank: there needs to be a better way","year":2020,"lang":"en","type":"article","venue":"Briefings in Functional Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GenBank; Upload; Biology; Process (computing); Software; Data science; Computational biology; World Wide Web; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001155819,0.0001651639,0.0001620495,0.00006746984,0.00006995219,0.00003142741,0.0001503726,0.00009808209,0.00001619984],"category_scores_gemma":[0.00006810312,0.0001774177,0.00005695506,0.0002381754,0.00004221181,0.000001569861,0.0001732793,0.0001118848,0.00001031659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003619333,"about_ca_system_score_gemma":0.00008779751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002196701,"about_ca_topic_score_gemma":0.0002429442,"domain_scores_codex":[0.9989741,0.00002843076,0.0002760306,0.0003525011,0.00009611715,0.0002727828],"domain_scores_gemma":[0.9996704,0.00001938108,0.00005498786,0.0001180459,0.00005376539,0.00008337488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001970611,0.00003023392,0.04043906,0.00001519159,0.00005549875,0.00001346898,0.001173802,0.01100202,0.9423305,0.0001792684,0.002513004,0.002050941],"study_design_scores_gemma":[0.002637085,0.0008486925,0.3732646,0.00004676613,0.00004013569,0.00006848407,0.001984615,0.001931538,0.1238023,0.0008183502,0.4931475,0.001409841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877894,0.000847358,0.0003451331,0.009839162,0.0001219965,0.000174922,0.00002707395,0.000005025639,0.0008499363],"genre_scores_gemma":[0.9754194,0.0001075208,0.001567083,0.02243737,0.0002867751,0.00003136768,0.00004531184,0.00002484636,0.00008032738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8185281,"threshold_uncertainty_score":0.7234885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523117383502191,"score_gpt":0.2174820900566058,"score_spread":0.1922509162215839,"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."}}