{"id":"W2229450847","doi":"10.1093/nar/gkv1012","title":"Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM)","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Biology; Computational biology; Natural product; Genome; Metagenomics; Cheminformatics; Prism; Genomics; Drug discovery; Identification (biology); Gene; Bioinformatics; Genetics; Biochemistry","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":[0.002210311,0.000171269,0.0003408065,0.0004348454,0.0001960918,0.00009110046,0.0002631235,0.0001450876,0.00007319669],"category_scores_gemma":[0.002525705,0.0001211936,0.0000767019,0.0008182798,0.000135538,0.0002851656,0.0002046809,0.0006418548,0.0002554352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036053,"about_ca_system_score_gemma":0.0004960911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614487,"about_ca_topic_score_gemma":0.000002595736,"domain_scores_codex":[0.9978012,0.00007991317,0.0003868091,0.0003316768,0.0007764308,0.0006239858],"domain_scores_gemma":[0.9977043,0.00009565721,0.00005107791,0.0005030992,0.001304941,0.0003409164],"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":[0.001432972,0.0001648334,0.0004845697,0.0005567428,0.0001645954,0.000007495701,0.003206233,0.000001370822,0.2471164,0.0002663972,0.5275468,0.2190515],"study_design_scores_gemma":[0.001188592,0.0008747383,0.002338475,0.00005329664,0.00004345313,0.00004903019,0.001123647,0.0002833554,0.1564826,0.0001774147,0.8372217,0.0001636632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665927,0.003250305,0.00005527541,0.02211678,0.000819471,0.003028248,0.0001083762,0.0001611491,0.003867676],"genre_scores_gemma":[0.9638286,0.0001337725,0.02216394,0.0007543506,0.001236459,0.00002488121,0.0001235098,0.00004308309,0.0116914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096749,"threshold_uncertainty_score":0.4942133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06553529268008816,"score_gpt":0.3391883476348865,"score_spread":0.2736530549547984,"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."}}