{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349711,0.0001102572,0.0001817079,0.0001555279,0.00009304167,0.000002201015,0.00005897591,0.00009366559,0.0003438579],"category_scores_gemma":[0.00006005047,0.0001117257,0.00003278701,0.0001256113,0.0003015133,0.0002085579,0.00001311992,0.00009335499,0.00001565039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000784147,"about_ca_system_score_gemma":0.0001202688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004545227,"about_ca_topic_score_gemma":0.01027369,"domain_scores_codex":[0.9990619,0.0001036967,0.0002850757,0.0002346511,0.0001188813,0.0001957889],"domain_scores_gemma":[0.9996138,0.000020006,0.0001593994,0.00009723053,0.00004654525,0.00006297661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008397038,0.00001798305,0.9895203,0.00002216615,0.000012446,0.000001057158,0.0006132432,0.007663288,0.0007331529,0.0007732946,0.00006035228,0.0004988188],"study_design_scores_gemma":[0.0002108112,0.00004409482,0.7425069,0.00002959647,0.00001455973,0.00001972006,0.0002576417,0.2551664,0.000025259,0.001628443,0.000004876279,0.00009169353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743,0.009678109,0.01153556,0.00001415629,0.0005132832,0.0001517219,0.00002400716,0.0000220493,0.003761171],"genre_scores_gemma":[0.9923766,0.0001559754,0.007345394,0.00001541501,0.00002939131,0.000001329544,0.000004730023,0.000002052126,0.00006913669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2475031,"threshold_uncertainty_score":0.6871054,"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."}}