{"id":"W3154688461","doi":"10.17504/protocols.io.bsypnfvn","title":"SARS-CoV-2 NCBI submission workflow + guidance for structuring and releasing metadata v1","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metadata; Workflow; GenBank; Computer science; Protocol (science); Process (computing); World Wide Web; Biology; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0269301,0.002081899,0.001759659,0.006276599,0.003424025,0.009007982,0.003872778,0.003474471,0.2118414],"category_scores_gemma":[0.0617455,0.00323038,0.00196435,0.004640024,0.001203787,0.006278259,0.009160053,0.004053164,0.3612253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00304932,"about_ca_system_score_gemma":0.01037377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007284304,"about_ca_topic_score_gemma":0.007441636,"domain_scores_codex":[0.9876935,0.003120577,0.002739335,0.001393221,0.004028121,0.001025248],"domain_scores_gemma":[0.9676605,0.009223635,0.001907265,0.009533207,0.009959782,0.001715623],"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":[0.0005608263,0.000112418,0.001111204,0.001503098,0.00003010526,0.0002978089,0.0006927295,0.0004021288,0.006192756,0.007155983,0.909698,0.07224291],"study_design_scores_gemma":[0.00009113539,0.00006653304,0.001032109,0.0008342072,0.00001305515,0.0002219096,0.0002795786,0.0005473276,0.005642607,0.004631144,0.9865465,0.00009387477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00359682,0.001010176,0.2972592,0.006396975,0.003136137,0.01472046,0.3555191,0.2390505,0.07931066],"genre_scores_gemma":[0.008300959,0.001665966,0.3579659,0.005374929,0.0008836957,0.02023528,0.4394846,0.08907299,0.07701569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2118414,"threshold_uncertainty_score":0.7086802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934370549416287,"score_gpt":0.3264728902169072,"score_spread":0.2771291847227443,"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."}}