{"id":"W2790384300","doi":"10.1016/j.toxicon.2018.02.002","title":"Discovery of novel bacterial toxins by genomics and computational biology","year":2018,"lang":"en","type":"review","venue":"Toxicon","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Computational biology; Microbial toxins; Metagenomics; Genomics; Identification (biology); Model organism; Drug discovery; Gene; Microbiology; Genome; Genetics; Toxin; Bioinformatics","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":[0.0007308641,0.001127603,0.001904958,0.002423632,0.0002369446,0.001422215,0.001275922,0.00123661,0.002219954],"category_scores_gemma":[0.001168825,0.0003233542,0.0007987513,0.00274827,0.0005700423,0.001672503,0.0009640992,0.001493183,0.001101077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006428567,"about_ca_system_score_gemma":0.001341888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009877288,"about_ca_topic_score_gemma":0.001118727,"domain_scores_codex":[0.999761,0.0000280378,0.00002902832,0.00004936702,0.000104154,0.0000282577],"domain_scores_gemma":[0.9995238,0.0002579314,0.00006603014,0.00002022827,0.00009900575,0.00003308162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001030375,0.00009729786,0.0004453786,0.01706166,0.0002154215,0.0003304061,0.00004873974,0.0009850694,0.003793496,0.008266473,0.0147298,0.9539231],"study_design_scores_gemma":[0.00004798043,0.0001609744,0.001253596,0.004201129,0.0005075692,0.002083726,0.00007295309,0.0009643258,0.002982361,0.00872304,0.9789409,0.00006141515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003800988,0.9969465,0.0009725611,0.000334799,0.0001518923,0.00000805879,0.00004630827,0.00002276875,0.001136943],"genre_scores_gemma":[0.001587317,0.9964192,0.001078421,0.0002407484,0.0001429064,0.000008201085,0.0001083769,0.000003557237,0.0004112246],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002423632,"threshold_uncertainty_score":0.007426441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512964301778173,"score_gpt":0.3273719641044318,"score_spread":0.2760755339266144,"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."}}