{"id":"W2944627306","doi":"10.1371/journal.pone.0216148","title":"Large-scale molecular phylogeny, morphology, divergence-time estimation, and the fossil record of advanced caenophidian snakes (Squamata: Serpentes)","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"Muséum National d'Histoire Naturelle; Field Museum; Fundação de Amparo à Pesquisa do Estado de São Paulo; American Museum of Natural History","keywords":"Clade; Phylogenetic tree; Biology; Squamata; Evolutionary biology; Phylogenetics; Fossil Record; Monophyly; Molecular phylogenetics; Zoology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002020934,0.0001200605,0.000270776,0.00001987716,0.00008080355,0.000006688407,0.0002283503,0.00008056345,0.001707392],"category_scores_gemma":[0.00005094464,0.00008238469,0.00004643453,0.0001127785,0.0005113155,0.00008438242,0.000227261,0.00008825581,0.000965994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002482229,"about_ca_system_score_gemma":0.000006921931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007388632,"about_ca_topic_score_gemma":0.00003732851,"domain_scores_codex":[0.9990005,0.00009306181,0.000210557,0.0002950828,0.0001731547,0.0002275702],"domain_scores_gemma":[0.9993944,0.00006266811,0.0001249649,0.0003412853,0.00001332193,0.0000633851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001702086,0.0004792899,0.135343,0.00004358691,0.00008671184,0.000005504999,0.0007823416,0.0003360261,0.8601452,0.0002011709,0.0002633057,0.002143707],"study_design_scores_gemma":[0.01465173,0.002176368,0.5416185,0.0004104069,0.0006981763,0.00007736681,0.001822649,0.07748005,0.3438395,0.0102889,0.004944353,0.001992049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964703,0.0002614296,0.0001049207,0.00051495,0.00004771525,0.0004344532,0.00002882103,0.00002061306,0.002116851],"genre_scores_gemma":[0.9941671,0.0001103204,0.004147027,0.0001758193,0.00001204657,0.00002063397,0.00001416,0.00001063154,0.0013422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5163056,"threshold_uncertainty_score":0.9998119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007493767589666888,"score_gpt":0.1927998868545373,"score_spread":0.1853061192648704,"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."}}