{"id":"W2038714333","doi":"10.1142/9789812776303_0027","title":"TOWARDS IDENTIFYING LATERAL GENE TRANSFER EVENTS","year":2002,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Phylogenetic tree; Heuristic; Computer science; Algorithm; Gene transfer; Gene; Artificial intelligence; Biology","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":[0.004332584,0.0008041391,0.001203546,0.0018216,0.000873398,0.001956306,0.001365216,0.001925711,0.002197005],"category_scores_gemma":[0.02504279,0.0006780198,0.0007911345,0.0008752262,0.001029873,0.002484214,0.002279983,0.001390528,0.000494417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072324,"about_ca_system_score_gemma":0.001729662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001882903,"about_ca_topic_score_gemma":0.001669857,"domain_scores_codex":[0.9983656,0.0006774798,0.00006547914,0.0003816294,0.0003501051,0.0001597119],"domain_scores_gemma":[0.9830702,0.01327071,0.001266248,0.001073051,0.0009330565,0.0003867087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000578935,0.000277611,0.03316322,0.0001569523,0.0001265679,0.0001912214,0.0002423224,0.8685265,0.01800029,0.01457905,0.0006656033,0.06349165],"study_design_scores_gemma":[0.00001970017,0.00003495631,0.000866766,0.000006086778,0.000009050127,0.00004819722,0.00005893674,0.9844403,0.005069177,0.009239056,0.0001976123,0.00001026947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3873991,0.0001205629,0.6098013,0.0001671374,0.000009665696,0.00005799761,0.0001151998,0.0009247072,0.001404319],"genre_scores_gemma":[0.6866555,0.00005914204,0.3122392,0.00006917861,0.000008816808,0.00005189086,0.0003603836,0.00009967516,0.0004562722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004332584,"threshold_uncertainty_score":0.02291316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751885249872067,"score_gpt":0.2438204198910932,"score_spread":0.2163015673923726,"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."}}