{"id":"W2336550859","doi":"","title":"DNA barcodes highlight genetic diversity patterns in rodents from desert and Andean areas of Argentina","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Genetic diversity; Genetics; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001785462,0.0001409066,0.0001862863,0.001911811,0.0005120836,0.0004366321,0.0002118579,0.0002227033,0.001361027],"category_scores_gemma":[0.0005541222,0.00009344183,0.0001455024,0.001555303,0.0004532248,0.0001265506,0.0003414578,0.0002094453,0.000180056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004596206,"about_ca_system_score_gemma":0.0003382504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03256266,"about_ca_topic_score_gemma":0.0734449,"domain_scores_codex":[0.9997792,0.00003341751,0.00001404583,0.00007357818,0.00004519596,0.00005457348],"domain_scores_gemma":[0.9995516,0.00006586343,0.0001967182,0.00001867257,0.0001094783,0.00005766012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003896612,0.00005245497,0.8973892,0.0001163873,0.00008216124,0.0002708924,0.004517697,0.0002152909,0.05969239,0.0007233,0.0004961127,0.0360545],"study_design_scores_gemma":[0.000002950045,0.00001988598,0.9964303,0.00001985165,0.0000136033,0.0001449177,0.0007863416,0.000123223,0.000506639,0.00007679399,0.001872023,0.000003347944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996031,0.0003406228,0.0004602996,0.00006531899,0.000008567505,0.000009246399,0.000833266,0.000008109663,0.002243666],"genre_scores_gemma":[0.9970506,0.0001961255,0.001008063,0.00003135265,0.000008328948,0.00001233064,0.0008738491,0.000004887071,0.000814463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03256266,"threshold_uncertainty_score":0.06474626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527795466812478,"score_gpt":0.2210682271128983,"score_spread":0.1957902724447735,"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."}}