{"id":"W6922853043","doi":"10.1371/journal.pone.0004035.g003","title":"ML phylogram (−ln likelihood = 899.956) generated from the combined COI, EF1α, and wingless dataset using the GTR+I+G model of evolution.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Tree (set theory); Taxon; Supertree; Maximum likelihood","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799271,0.002815341,0.00269678,0.004728939,0.002896456,0.003040845,0.002430315,0.002387393,0.1525971],"category_scores_gemma":[0.006408616,0.001123028,0.001843558,0.009623145,0.0008110486,0.002420179,0.001332997,0.004230985,0.0872674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940708,"about_ca_system_score_gemma":0.002331199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009822099,"about_ca_topic_score_gemma":0.01374304,"domain_scores_codex":[0.9993025,0.0002105994,0.00003555505,0.0002615924,0.0001031818,0.00008661381],"domain_scores_gemma":[0.9982016,0.0008186512,0.0001915859,0.0003274231,0.0002624881,0.0001981854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002462775,0.0003031573,0.01291223,0.00474801,0.000932825,0.001297138,0.001569739,0.01194038,0.01329204,0.01133556,0.8810003,0.0582059],"study_design_scores_gemma":[0.00126059,0.0002484849,0.0565965,0.001597821,0.0008436074,0.0009465596,0.002130555,0.01741751,0.002173723,0.01828414,0.898213,0.0002875463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02593294,0.001260759,0.01606289,0.001222405,0.001025089,0.0002358119,0.8969333,0.01619625,0.04113057],"genre_scores_gemma":[0.107559,0.001450186,0.03897526,0.0006655108,0.0002584668,0.0006290284,0.8234598,0.01512814,0.01187465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1525971,"threshold_uncertainty_score":0.5104883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757137510097878,"score_gpt":0.3804285765429166,"score_spread":0.2047148255331288,"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."}}