{"id":"W1514148026","doi":"10.1111/j.1558-5646.2011.01558.x","title":"JOINT RECONSTRUCTION OF DIVERGENCE TIMES AND LIFE-HISTORY EVOLUTION IN PLACENTAL MAMMALS USING A PHYLOGENETIC COVARIANCE MODEL","year":2011,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Compute Canada","keywords":"Biology; Molecular clock; Evolutionary biology; Divergence (linguistics); Phylogenetic comparative methods; Phylogenetics; Trait; Covariance; Phylogenetic tree; Bayesian probability; Life history; Life history theory; Molecular evolution; Rate of evolution; Gene; Statistics; Ecology; Genetics; Computer science","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":[0.002793604,0.0003938407,0.0006666502,0.001189967,0.0005683944,0.001298302,0.0008103194,0.0008231374,0.0008663215],"category_scores_gemma":[0.00992229,0.0008037079,0.001309565,0.0009745618,0.0007157817,0.001146459,0.001061493,0.001081402,0.0002598951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043598,"about_ca_system_score_gemma":0.001156304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019247,"about_ca_topic_score_gemma":0.008911914,"domain_scores_codex":[0.9993713,0.0003373093,0.00003951505,0.0001427729,0.00006270418,0.0000464136],"domain_scores_gemma":[0.9978131,0.0014039,0.0003217062,0.0002134899,0.0001174301,0.0001302641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003210357,0.00007271447,0.0847363,0.00006985224,0.0003005994,0.0004894636,0.0005506626,0.8430291,0.01379754,0.02760698,0.0003268641,0.02869888],"study_design_scores_gemma":[0.00001761662,0.0000216438,0.01249587,0.000009214192,0.00002925693,0.0001040041,0.000040194,0.9774976,0.0005345892,0.009027718,0.0002020942,0.00002018689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883502,0.0001590825,0.210591,0.0001816093,0.000005698863,0.000009137197,0.0001492255,0.0001630977,0.0003908655],"genre_scores_gemma":[0.9655415,0.0001192039,0.03356639,0.00001984698,0.000006839628,0.0000176109,0.0003861487,0.00008656022,0.0002560017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019247,"threshold_uncertainty_score":0.02026629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0613124646626935,"score_gpt":0.2092252302825627,"score_spread":0.1479127656198692,"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."}}