{"id":"W2614081736","doi":"10.1038/nmeth.4285","title":"ModelFinder: fast model selection for accurate phylogenetic estimates","year":2017,"lang":"en","type":"article","venue":"Nature Methods","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":18775,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Phylogenetic tree; Selection (genetic algorithm); Computational biology; Evolutionary biology; Model selection; Biology; Phylogenetics; Computer science; Genetics; Artificial intelligence; Gene","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":[0.01000896,0.004433292,0.003494969,0.003375284,0.002084491,0.002486652,0.00619737,0.004252751,0.03389907],"category_scores_gemma":[0.04378154,0.003241987,0.0034831,0.002247891,0.001137604,0.004237086,0.004132847,0.008995123,0.01438702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105348,"about_ca_system_score_gemma":0.003224357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404405,"about_ca_topic_score_gemma":0.01116825,"domain_scores_codex":[0.9959165,0.002363894,0.0002633027,0.0007185172,0.0005603934,0.0001773947],"domain_scores_gemma":[0.9789216,0.01732546,0.0003988626,0.002119334,0.0008224315,0.0004123066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002227095,0.0005445197,0.005332809,0.001734561,0.002843477,0.001046132,0.0006829322,0.2244794,0.01301052,0.03484176,0.168342,0.5449148],"study_design_scores_gemma":[0.0005371041,0.0001169496,0.0005364391,0.00008026548,0.0001851386,0.0002013155,0.00005325811,0.9333872,0.003680286,0.04805867,0.01306114,0.0001021645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005073923,0.0004643108,0.9335935,0.0003578081,0.0002558418,0.000114749,0.003355144,0.05599871,0.0007859683],"genre_scores_gemma":[0.05218615,0.0002831012,0.9181334,0.0004547144,0.0001862848,0.0009309172,0.008162153,0.01795462,0.001708645],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03389907,"threshold_uncertainty_score":0.1134037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154516257025337,"score_gpt":0.4052972905823507,"score_spread":0.3437521280120973,"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."}}