{"id":"W3110037558","doi":"10.1093/nargab/lqaa098","title":"TOUCAN: a framework for fungal biosynthetic gene cluster discovery","year":2020,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Biology; Computational biology; Scope (computer science); Computer science","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":[0.0001254325,0.0001748756,0.0003037911,0.0000442158,0.0001068999,0.0001046803,0.00008695835,0.0001607987,0.000024149],"category_scores_gemma":[0.0002132198,0.0001227144,0.0001133689,0.0001060025,0.00006515248,0.0001261106,0.00008572509,0.0001714907,0.00002069784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003335489,"about_ca_system_score_gemma":0.00007321173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000254205,"about_ca_topic_score_gemma":7.931511e-7,"domain_scores_codex":[0.9991142,0.000006621503,0.0003487145,0.0001779744,0.0001017243,0.0002507446],"domain_scores_gemma":[0.9993963,0.00007609214,0.0001087971,0.0001757371,0.00006125811,0.0001818226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006765617,0.0005321872,0.001215103,0.009913179,0.001203291,0.00004286566,0.01543056,0.00004639752,0.493205,0.01399273,0.05162929,0.4060237],"study_design_scores_gemma":[0.004382943,0.002733241,0.0005266552,0.0003941217,0.0007950053,0.0004509915,0.002085057,0.06184226,0.3664204,0.001807404,0.5571312,0.001430706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370061,0.001121539,0.02210792,0.03694769,0.0003488349,0.001497252,0.0005052956,0.0000745588,0.0003908097],"genre_scores_gemma":[0.7532796,0.0007378689,0.2304297,0.01431249,0.0008647388,0.000002528094,0.00005803795,0.00003192806,0.0002831343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055019,"threshold_uncertainty_score":0.5004146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021586546052363,"score_gpt":0.2393252859033765,"score_spread":0.2191094204428528,"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."}}