{"id":"W2972800774","doi":"10.1371/journal.pone.0220892","title":"Xenopus fraseri: Mr. Fraser, where did your frog come from?","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Environmental Biology; Akademie Věd České Republiky; Max-Planck-Institut für Evolutionäre Anthropologie; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Grantová Agentura České Republiky; Museum of Comparative Zoology, Harvard University; Harvard University; National Geographic Society; National Science Foundation","keywords":"Biology; Phylogenetic tree; Phylogenomics; Zoology; Taxonomy (biology); Phylogenetics; Evolutionary biology; Intraspecific competition; Biodiversity; Habitat; Ecology; Genetics; Clade","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":[0.0007541997,0.0005079696,0.0003401343,0.0007720517,0.001183078,0.0007071128,0.0003763936,0.0009643855,0.01547512],"category_scores_gemma":[0.001693242,0.0001619865,0.0001962264,0.0006383604,0.001152097,0.001522701,0.000569137,0.001352625,0.003838664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006350505,"about_ca_system_score_gemma":0.0004094185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003960392,"about_ca_topic_score_gemma":0.01188599,"domain_scores_codex":[0.9997332,0.00007395968,0.00002169133,0.00009302091,0.00004184816,0.00003632247],"domain_scores_gemma":[0.9995574,0.0001102,0.000193929,0.0000216856,0.00004994058,0.00006675508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001083657,0.00008651577,0.213237,0.002879557,0.0001091373,0.02217498,0.01759572,0.0004391606,0.04705129,0.01285727,0.1851308,0.497355],"study_design_scores_gemma":[0.00004321102,0.0003275346,0.2145812,0.002633245,0.0001271618,0.06683234,0.0178508,0.0004257942,0.01002902,0.005157874,0.6818047,0.0001871257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4585473,0.1900719,0.02485433,0.2016365,0.02327532,0.0003696855,0.007311352,0.001709352,0.09222417],"genre_scores_gemma":[0.8493944,0.03671088,0.03008732,0.02165264,0.004518367,0.0001627244,0.002220681,0.000291044,0.05496203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547512,"threshold_uncertainty_score":0.05176944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174766980788206,"score_gpt":0.2061103459487579,"score_spread":0.1843626761408758,"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."}}