{"id":"W4231070980","doi":"10.1146/annurev.ecolsys.35.112202.130205","title":"Phylogenomics","year":2005,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":307,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Institute for Advanced Research","funders":"Canada Research Chairs","keywords":"Phylogenomics; Phylogenetic tree; Reciprocal; Tree (set theory); Computer science; Sequence (biology); Computational biology; Biology; Evolutionary biology; Data science; Clade; Gene; Genetics; Mathematics","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":[0.002287557,0.0007296542,0.0008903917,0.00369688,0.001059592,0.004438413,0.001313438,0.001275616,0.01623031],"category_scores_gemma":[0.003551611,0.0004535784,0.001206441,0.004837405,0.001019329,0.00210253,0.002057326,0.002500001,0.006409685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432542,"about_ca_system_score_gemma":0.00161877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498997,"about_ca_topic_score_gemma":0.001184797,"domain_scores_codex":[0.9990785,0.0002770904,0.00005573312,0.0002665831,0.0002387534,0.00008329004],"domain_scores_gemma":[0.9988205,0.0003556002,0.0001403911,0.0002992165,0.000273317,0.0001110119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000255292,0.00005859583,0.01197887,0.001868732,0.0006234152,0.0006813691,0.001259725,0.008072856,0.02033946,0.3658492,0.09097994,0.4980325],"study_design_scores_gemma":[0.0000304821,0.00004711408,0.01031353,0.0004884611,0.0001797594,0.0007388194,0.0005064565,0.01651051,0.005378479,0.2224785,0.7432672,0.00006070263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03033439,0.05511404,0.7078468,0.03015202,0.004658964,0.0003930806,0.03031873,0.008657551,0.1325243],"genre_scores_gemma":[0.3190728,0.06340278,0.4631687,0.006398048,0.002388265,0.0007453945,0.06556042,0.002471223,0.07679242],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01623031,"threshold_uncertainty_score":0.05429584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008827733872664605,"score_gpt":0.2543041860572882,"score_spread":0.2454764521846236,"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."}}