{"id":"W4239642984","doi":"10.1007/978-1-60327-429-6_9","title":"Phylogenetic Profiling","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Interactome; Phylogenetic tree; Computational biology; Genome; Biology; Similarity (geometry); Genetics; Gene; Computer science; Artificial intelligence","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":[0.001285528,0.0008146592,0.001050659,0.005109399,0.001207878,0.002064141,0.0009681917,0.0009365692,0.02006017],"category_scores_gemma":[0.005135902,0.0004579812,0.0008404576,0.006816768,0.0003465814,0.001407422,0.001697225,0.001340456,0.01598886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006423178,"about_ca_system_score_gemma":0.0009469485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832107,"about_ca_topic_score_gemma":0.002705772,"domain_scores_codex":[0.9982913,0.0002293062,0.0001102128,0.000549426,0.000609635,0.0002100691],"domain_scores_gemma":[0.9980797,0.0004155505,0.0002920304,0.0004331814,0.0005654828,0.0002140771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001127761,0.0003170663,0.06252638,0.002139636,0.0004187903,0.001025865,0.00186125,0.005781486,0.3067409,0.03719483,0.1050781,0.4757881],"study_design_scores_gemma":[0.00005490277,0.0003243207,0.07345051,0.0003713645,0.0002987862,0.002918974,0.0006568374,0.0227816,0.07078906,0.0199302,0.8082488,0.0001746028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1443316,0.005474674,0.4360314,0.001364674,0.000652315,0.001202076,0.2931825,0.01861985,0.09914098],"genre_scores_gemma":[0.2845248,0.003856338,0.3302907,0.001180532,0.0002206179,0.001295637,0.3303981,0.003077509,0.04515588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02006017,"threshold_uncertainty_score":0.06710798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300269228268137,"score_gpt":0.3605012458420023,"score_spread":0.3304743230151886,"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."}}