{"id":"W4404079324","doi":"10.1093/nar/gkae1030","title":"StreptomeDB 4.0: a comprehensive database of streptomycetes natural products enriched with protein interactions and interactive spectral visualization","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Albert-Ludwigs-Universität Freiburg; China Scholarship Council; Deutsche Forschungsgemeinschaft","keywords":"Biology; Visualization; Computational biology; Natural (archaeology); Database; Bioinformatics; Computer science; Data mining","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":[0.001251635,0.00323451,0.00318777,0.01015339,0.000952301,0.003794975,0.002126839,0.002184808,0.01579244],"category_scores_gemma":[0.003041358,0.001036389,0.002055976,0.009949839,0.0005055525,0.002131122,0.003139626,0.00177797,0.01590042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008202525,"about_ca_system_score_gemma":0.002559418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002558059,"about_ca_topic_score_gemma":0.003872695,"domain_scores_codex":[0.9989908,0.0001867539,0.0001620027,0.0002275843,0.0003149968,0.0001178278],"domain_scores_gemma":[0.9987393,0.0003106446,0.0002944769,0.00015788,0.0002094027,0.0002883654],"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":[0.009047299,0.0006158561,0.02551259,0.05883756,0.002195335,0.004868024,0.001389279,0.006070586,0.1608718,0.01079533,0.5349346,0.1848617],"study_design_scores_gemma":[0.0005230533,0.0004003392,0.02069617,0.002443762,0.0009153899,0.00232672,0.0003079758,0.004204144,0.01694779,0.00485011,0.9460716,0.000312934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02469943,0.02546644,0.01205698,0.0003794784,0.0002008793,0.0003170357,0.8997464,0.02638528,0.01074808],"genre_scores_gemma":[0.01838134,0.006612883,0.02775066,0.0003961899,0.00005670043,0.000295876,0.9431028,0.002029384,0.00137416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01579244,"threshold_uncertainty_score":0.05283105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647115216594941,"score_gpt":0.3626244754035627,"score_spread":0.3261533232376133,"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."}}