{"id":"W2155858762","doi":"10.1186/1756-0381-4-22","title":"Detection of putative new mutacins by bioinformatic analysis using available web tools","year":2011,"lang":"en","type":"article","venue":"BioData Mining","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bacteriocin; Computational biology; Context (archaeology); Identification (biology); Genome; Biology; Drug discovery; Whole genome sequencing; Computer science; Genetics; Gene; Bioinformatics; Bacteria","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":[0.0001121918,0.0001146727,0.0001784811,0.00008313139,0.00006322459,0.00001589701,0.0001342907,0.0000692193,0.00003554948],"category_scores_gemma":[0.00004953511,0.0001100417,0.00008282666,0.0002325223,0.00004806929,0.000004129515,0.0001215259,0.00002628893,0.000007485236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008352761,"about_ca_system_score_gemma":0.00006040375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001895533,"about_ca_topic_score_gemma":0.00003725627,"domain_scores_codex":[0.999316,0.00001921839,0.0002418177,0.0001979676,0.00006527873,0.0001597647],"domain_scores_gemma":[0.9994671,0.000009636507,0.0001625852,0.0002611069,0.00004742246,0.00005213575],"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":[0.00002370086,0.00001553125,0.003761746,0.000009567765,0.0004839544,2.832639e-7,0.000556665,0.00001797557,0.9912604,0.000001493715,0.0003508082,0.003517885],"study_design_scores_gemma":[0.0003109817,0.0002119594,0.002326088,0.00000645805,0.000380678,0.000003552577,0.001009211,0.002018586,0.988932,0.0000061434,0.00459745,0.0001969431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907374,0.001033355,0.006712398,0.000002858626,0.0000626828,0.00008053322,0.0002697907,0.000002909309,0.001098013],"genre_scores_gemma":[0.9875294,0.0001290387,0.01194359,0.00002826223,0.0000327879,0.000002552425,0.0001478929,0.00000851129,0.0001779969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005231192,"threshold_uncertainty_score":0.4487368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06311613741850325,"score_gpt":0.2527864325412549,"score_spread":0.1896702951227516,"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."}}