{"id":"W2099381023","doi":"10.3410/b1-25","title":"Bioinformatic detection of horizontally transferred DNA in bacterial genomes","year":2009,"lang":"en","type":"article","venue":"F1000 Biology Reports","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Horizontal gene transfer; Genome; Selection (genetic algorithm); Gene transfer; Bacterial genome size; Biology; Computational biology; Gene; Face (sociological concept); DNA; Evolutionary biology; Genetics; Data science; Computer science; Artificial intelligence; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001370476,0.0004699375,0.0004442296,0.001509504,0.0007465055,0.001577167,0.0007145556,0.0006351392,0.00130373],"category_scores_gemma":[0.004219321,0.00024726,0.000576295,0.001312626,0.0006165213,0.0009528175,0.0006720354,0.001060023,0.0004615249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489052,"about_ca_system_score_gemma":0.0008698459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000760172,"about_ca_topic_score_gemma":0.001629871,"domain_scores_codex":[0.9995356,0.0001376015,0.00003397059,0.0001149651,0.0001451139,0.00003281283],"domain_scores_gemma":[0.9985089,0.0009607886,0.0001837183,0.00009711235,0.0001467241,0.0001028144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008299341,0.0008696747,0.07396648,0.003433515,0.0005049426,0.001633013,0.001122657,0.07338075,0.4413146,0.02587177,0.01053123,0.3665414],"study_design_scores_gemma":[0.0001678449,0.0006436319,0.06417841,0.0003714578,0.000354203,0.002675944,0.0008103741,0.7323055,0.1321194,0.04746277,0.01878208,0.0001284165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7512214,0.005910174,0.2260675,0.004711424,0.0002188965,0.0002155663,0.003442397,0.004624178,0.003588458],"genre_scores_gemma":[0.7406397,0.001814669,0.2486804,0.0007136185,0.0001093903,0.00009503037,0.006711242,0.0004017604,0.0008341752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001577167,"threshold_uncertainty_score":0.007247865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911419642959228,"score_gpt":0.2164548799665926,"score_spread":0.2105434603236334,"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."}}