{"id":"W2790696000","doi":"10.1021/acs.jnatprod.7b00769","title":"Lichen Biosynthetic Gene Clusters. Part I. Genome Sequencing Reveals a Rich Biosynthetic Potential","year":2018,"lang":"en","type":"article","venue":"Journal of Natural Products","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyketide; Biology; Nonribosomal peptide; Polyketide synthase; Secondary metabolism; Lichen; Gene; Gene cluster; Genome; Natural product; Secondary metabolite; Fungus; Biosynthesis; Genetics; Biochemistry; Botany","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001465323,0.0004412539,0.0009165542,0.0005165996,0.000251019,0.00009853983,0.0004604129,0.0002422072,0.0001815453],"category_scores_gemma":[0.001975353,0.0002924371,0.0003265409,0.0008738483,0.0003678039,0.000379955,0.0001544374,0.0009506248,0.0001661681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003649986,"about_ca_system_score_gemma":0.0004150978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108407,"about_ca_topic_score_gemma":0.000002028231,"domain_scores_codex":[0.9965114,0.0001992974,0.001174108,0.0006336837,0.0007713416,0.000710147],"domain_scores_gemma":[0.9960483,0.00006134259,0.0009184593,0.0006757483,0.002002036,0.0002940559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007071797,0.0001298889,0.00003463059,0.0001772716,0.0002795283,0.0002779904,0.0002723183,0.000002297767,0.9869705,0.000007710864,0.007355006,0.003785644],"study_design_scores_gemma":[0.001176783,0.00119468,0.001436769,0.0005429587,0.0006998233,0.009336652,0.0001021786,0.00004685995,0.9641318,0.0001250901,0.02072867,0.0004776775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653372,0.006693027,0.00001430575,0.02396926,0.003156229,0.0005700187,0.00001547718,0.00007863066,0.0001658258],"genre_scores_gemma":[0.9811605,0.0003975499,0.005731439,0.001382365,0.009319296,4.538499e-7,0.000008843155,0.00007893906,0.001920621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283868,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870937926696038,"score_gpt":0.2465982506637754,"score_spread":0.2278888713968151,"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."}}