{"id":"W2079830918","doi":"10.2217/fvl.10.15","title":"Navigating Transmission Networks with Genomics and Phylogenetic Trees","year":2010,"lang":"en","type":"article","venue":"Future Virology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Centre for Disease Control","funders":"","keywords":"Phylogenetic tree; Genomics; Genome; Population genomics; Biology; Whole genome sequencing; Evolutionary biology; DNA sequencing; Transmission (telecommunications); Population; Phylogenetics; Genetics; Gene; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008485041,0.0001823156,0.0001634214,0.00001110662,0.0001447734,0.00001403928,0.0001236553,0.0002574138,0.00000991861],"category_scores_gemma":[0.000004661982,0.0001424188,0.00003681143,0.0000418684,0.0001736301,4.683181e-7,0.00007036457,0.0002761274,0.000001094149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000021152,"about_ca_system_score_gemma":0.00002252225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008731721,"about_ca_topic_score_gemma":0.0002362605,"domain_scores_codex":[0.9991661,0.00003106487,0.0001337117,0.0003609234,0.00004483849,0.0002634162],"domain_scores_gemma":[0.9995738,0.00001213363,0.00005808313,0.0002346231,0.00003183118,0.00008956304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036641,0.00001815449,0.01251744,0.000004772149,0.00005197622,0.000003235785,0.0001265686,0.0005019107,0.9455718,0.00006455653,0.00005376288,0.04098216],"study_design_scores_gemma":[0.002716676,0.002610808,0.372766,0.00001528786,0.0001545759,0.000515759,0.0003181724,0.002139526,0.08226843,0.0002933956,0.5351784,0.00102298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937006,0.003787627,0.001427717,0.0004918275,0.0002865121,0.0001346463,0.000006289172,0.000005178698,0.0001595799],"genre_scores_gemma":[0.9911589,0.001183955,0.005866203,0.0004323369,0.001256135,0.00001700441,0.00002433637,0.00002837924,0.00003273835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8633034,"threshold_uncertainty_score":0.5807669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002900383625083968,"score_gpt":0.2054785817876861,"score_spread":0.2025781981626022,"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."}}