{"id":"W6920714867","doi":"10.6084/m9.figshare.13346688","title":"Additional file 3 of Sphenodontian phylogeny and the impact of model choice in Bayesian morphological clock estimates of divergence times and evolutionary rates","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phylogenetics; Phylogenetic tree; Bayesian probability; Divergence (linguistics); Character (mathematics); Molecular clock; Variation (astronomy); Clade","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001878602,0.001161686,0.00129628,0.002311103,0.001349318,0.002033135,0.002472511,0.001504595,0.8989738],"category_scores_gemma":[0.02342394,0.0007019456,0.001013369,0.004426289,0.0003977235,0.00213871,0.00111364,0.001429434,0.2216445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123087,"about_ca_system_score_gemma":0.001735645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097697,"about_ca_topic_score_gemma":0.01834702,"domain_scores_codex":[0.9994053,0.0001028478,0.00008428172,0.0001798842,0.0001342907,0.0000934864],"domain_scores_gemma":[0.9773418,0.01786896,0.000919366,0.00119264,0.002282175,0.0003950149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003236363,0.00006801891,0.003044364,0.001636394,0.00006974804,0.0001145836,0.0001389469,0.001139176,0.000284015,0.001483218,0.9838632,0.007834546],"study_design_scores_gemma":[0.004864039,0.000191278,0.02902142,0.002006981,0.00029778,0.0007637484,0.0005281386,0.005738713,0.001597692,0.02294984,0.9318521,0.0001883154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003027476,0.00001438582,0.0006314208,0.00007970537,0.00002714074,0.00003219286,0.9970512,0.000670771,0.001190477],"genre_scores_gemma":[0.01158699,0.00008472999,0.007142112,0.0004283263,0.00009296889,0.0007421085,0.9683422,0.00348997,0.008090662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1010262,"threshold_uncertainty_score":0.1441017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885280360349913,"score_gpt":0.22469201529224,"score_spread":0.2058392116887408,"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."}}