{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002416654,0.001282305,0.001054918,0.002177089,0.0008001827,0.001333648,0.002497032,0.001137327,0.003490157],"category_scores_gemma":[0.004075956,0.0006162969,0.002102435,0.001762988,0.0005600567,0.001114266,0.001985089,0.001734646,0.001605468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143328,"about_ca_system_score_gemma":0.002212358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006455848,"about_ca_topic_score_gemma":0.01437117,"domain_scores_codex":[0.9990122,0.0003650922,0.00005876609,0.0002581052,0.0002525105,0.00005334307],"domain_scores_gemma":[0.9988198,0.0007125761,0.0000698709,0.0001154728,0.000202412,0.00007979857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007660582,0.0003861034,0.00685945,0.001694166,0.0007556996,0.0007077458,0.0002956182,0.4938774,0.01201536,0.0493823,0.04052505,0.3927351],"study_design_scores_gemma":[0.00003346392,0.00003980352,0.0003138442,0.00002716257,0.0000237899,0.00005795239,0.00002311318,0.9707655,0.001242866,0.02016173,0.007297733,0.00001295528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006546342,0.0006519383,0.9758553,0.0002906485,0.00005000878,0.0001615987,0.002865576,0.01242563,0.001153077],"genre_scores_gemma":[0.06296045,0.0004448566,0.9227157,0.000243318,0.00004729167,0.0003899354,0.01126067,0.0005621911,0.001375659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006455848,"threshold_uncertainty_score":0.01283652,"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."}}