{"id":"W2138958561","doi":"10.1111/mec.12087","title":"River islands, refugia and genetic structuring in the endemic brown frog <i><scp>R</scp>ana kukunoris</i> (<scp>A</scp>nura, <scp>R</scp>anidae) of the <scp>Q</scp>inghai‐<scp>T</scp>ibetan <scp>P</scp>lateau","year":2012,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Biology; Refugium (fishkeeping); Last Glacial Maximum; Lineage (genetic); Phylogeography; Genetic structure; Ecology; Genetic diversity; Pleistocene; Glacial period; Genetic variation; Habitat; Zoology; Phylogenetics; Gene; Population; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001509709,0.002025019,0.001942875,0.0007029487,0.001078722,0.0003292089,0.003089542,0.002837817,0.00003042028],"category_scores_gemma":[0.005482309,0.001742375,0.001033892,0.001361565,0.001353666,0.0001387044,0.002040052,0.00213392,0.0001409608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359121,"about_ca_system_score_gemma":0.0004868705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000329396,"about_ca_topic_score_gemma":0.0006090797,"domain_scores_codex":[0.9884446,0.001948335,0.002041732,0.002573396,0.001455878,0.00353608],"domain_scores_gemma":[0.9912266,0.002719845,0.001716248,0.002843539,0.0005671252,0.000926678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002219819,0.0007466867,0.4738788,0.0006777421,0.002210825,0.000425165,0.02097875,0.004692949,0.3952589,0.001219462,0.09880219,0.001086311],"study_design_scores_gemma":[0.005061976,0.001000377,0.4250842,0.000137008,0.001275882,0.0009503586,0.0129202,0.0003419421,0.1973578,0.002790704,0.3527737,0.0003058541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737946,0.01119264,0.0007068593,0.000108299,0.002248875,0.002045366,0.0005119081,0.0001388523,0.009252536],"genre_scores_gemma":[0.9866321,0.001355806,0.001677449,0.00255556,0.001016945,0.0001388651,0.0007210389,0.0002953343,0.005606866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2539715,"threshold_uncertainty_score":0.9992492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007401097633351044,"score_gpt":0.2102160095790134,"score_spread":0.2028149119456624,"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."}}