{"id":"W2994618609","doi":"10.1101/2019.12.12.873679","title":"Out of the Qinghai-Tibetan Plateau and get flourishing - the evolution of <i>Neodon</i> voles (Rodentia: Cricetidae) revealed by systematic sampling and low coverage whole genome sequencing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"National Natural Science Foundation of China","keywords":"Cricetidae; Biology; Genus; Biological dispersal; Plateau (mathematics); Ecology; Molecular clock; Zoology; Evolutionary biology; Phylogenetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002724919,0.0001612834,0.0001200517,0.0006352079,0.0005958038,0.0004189404,0.0001731714,0.0001326963,0.0006977654],"category_scores_gemma":[0.0001892805,0.00008727358,0.0001740353,0.0006162173,0.0003549696,0.0001625393,0.00028049,0.0001789403,0.00007354707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169753,"about_ca_system_score_gemma":0.0002575068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112949,"about_ca_topic_score_gemma":0.03567472,"domain_scores_codex":[0.9998925,0.00001965933,0.000007550689,0.0000380852,0.00001993965,0.00002234409],"domain_scores_gemma":[0.9998603,0.00001645405,0.00004979617,0.00001192333,0.00002684136,0.00003471079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007297907,0.00001730107,0.9335084,0.00008564539,0.0001337645,0.000628086,0.001723276,0.000211955,0.05017996,0.0002309521,0.0001538998,0.0130538],"study_design_scores_gemma":[0.000001489139,0.000020602,0.9980969,0.000007476379,0.00001662987,0.0001718128,0.0003856006,0.0001941806,0.0002775099,0.00002734141,0.0007973952,0.000003023269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991999,0.0001449878,0.0001328402,0.00001494176,0.000002316375,0.000003420913,0.0001228067,0.000003705131,0.0003751676],"genre_scores_gemma":[0.9991658,0.00008320824,0.000181456,0.00002640442,0.000003017328,0.000004256174,0.0003217297,0.00000245969,0.0002116129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112949,"threshold_uncertainty_score":0.02212942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066619652145214,"score_gpt":0.2018447215536401,"score_spread":0.191178525032188,"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."}}