{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004817873,0.0007384148,0.0006830404,0.002135197,0.0004163849,0.0009353863,0.0004641836,0.0003781143,0.002424529],"category_scores_gemma":[0.001067236,0.0002116156,0.0007400464,0.001309248,0.0002176644,0.0006991329,0.0004438385,0.0004955912,0.0007763199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900192,"about_ca_system_score_gemma":0.0003516751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000278276,"about_ca_topic_score_gemma":0.0004530542,"domain_scores_codex":[0.9998073,0.00003402587,0.0000288388,0.00003824902,0.0000730695,0.00001857034],"domain_scores_gemma":[0.999481,0.0002034565,0.000125556,0.00003668366,0.00007629369,0.00007707995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002277008,0.0006453522,0.02717984,0.002078881,0.0003016127,0.002063896,0.0003427201,0.003974286,0.8302581,0.001992469,0.001409841,0.1274761],"study_design_scores_gemma":[0.0002960618,0.001287009,0.1273912,0.0002824102,0.0009485668,0.007381034,0.000910189,0.1498511,0.6677952,0.008531883,0.03515875,0.0001664927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880488,0.003336117,0.09230833,0.0005597875,0.00005235201,0.0003314066,0.007075575,0.004933505,0.003354105],"genre_scores_gemma":[0.7312779,0.00154365,0.2416354,0.0002228949,0.00004344411,0.0003565066,0.02269402,0.0004166081,0.001809706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002424529,"threshold_uncertainty_score":0.008110881,"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."}}