{"id":"W3154325449","doi":"10.17504/protocols.io.bid7ka9n","title":"SARS-CoV-2 NCBI consensus submission protocol: GenBank v2","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Protocol (science); GenBank; Biology; Metadata; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; World Wide Web; Computational biology; Medicine; Genetics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01141582,0.001826704,0.002054182,0.004829367,0.004118952,0.004106896,0.004263274,0.00422695,0.2477484],"category_scores_gemma":[0.02619982,0.002228437,0.001167354,0.005250394,0.001267236,0.003781877,0.004047645,0.004239318,0.3364258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801874,"about_ca_system_score_gemma":0.008047822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379132,"about_ca_topic_score_gemma":0.004535411,"domain_scores_codex":[0.9871762,0.004480252,0.003104824,0.001470204,0.00272679,0.001041798],"domain_scores_gemma":[0.9816296,0.002956579,0.001357182,0.003895863,0.00916297,0.0009977799],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006796531,0.0001218401,0.0006208227,0.002002088,0.00002330059,0.0002196928,0.0003757584,0.0001736854,0.01674321,0.003385631,0.953181,0.02247323],"study_design_scores_gemma":[0.0002157277,0.0002353636,0.001690911,0.001042317,0.0000297577,0.0003487275,0.000392412,0.0003367894,0.009931821,0.002731366,0.982951,0.00009388385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.006023256,0.002754355,0.09176075,0.006491933,0.006472726,0.01918307,0.7473732,0.02838821,0.09155256],"genre_scores_gemma":[0.007236409,0.001515353,0.05619846,0.004366565,0.0007247698,0.01872089,0.8604468,0.006822528,0.04396819],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9885842,"threshold_uncertainty_score":0.8288009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08101030844248443,"score_gpt":0.368760272244654,"score_spread":0.2877499638021696,"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."}}