{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002825931,0.0001371497,0.0001696246,0.0007185692,0.0004491183,0.0004967912,0.0002844607,0.0002564425,0.0009262211],"category_scores_gemma":[0.0006551744,0.0001431476,0.0001795218,0.0006915841,0.0006271513,0.0002159743,0.0003657276,0.0002643066,0.0001084327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063234,"about_ca_system_score_gemma":0.0002374271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767078,"about_ca_topic_score_gemma":0.04247525,"domain_scores_codex":[0.9998106,0.00005653041,0.00001790166,0.00006358092,0.00001832143,0.00003304832],"domain_scores_gemma":[0.9994385,0.0001288388,0.0002295215,0.00003712229,0.00005739318,0.0001086371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256639,0.00003430026,0.990092,0.00002173898,0.0001039585,0.0002179125,0.001339657,0.0001304447,0.004679236,0.000127875,0.00004951084,0.003077679],"study_design_scores_gemma":[0.000003364619,0.00001979055,0.9990413,0.00000429866,0.0000211831,0.00006583395,0.0004569869,0.000221454,0.00004726225,0.00002555269,0.00009000699,0.00000298256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998659,0.00003091336,0.000009762795,0.000003373929,3.509557e-7,7.187716e-7,0.00001352793,5.969337e-7,0.00007490769],"genre_scores_gemma":[0.9998488,0.00002005614,0.00003800191,0.000003643143,8.381475e-7,0.000001736579,0.00004134907,9.677714e-7,0.00004441068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767078,"threshold_uncertainty_score":0.03513587,"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."}}