{"id":"W4226217752","doi":"10.24272/j.issn.2095-8137.2022.101","title":"Discovery of a wild, genetically pure Chinese giant salamander creates new conservation opportunities","year":2022,"lang":"en","type":"article","venue":"动物学研究","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"Jiangxi Academy of Sciences; Chinese Academy of Sciences","keywords":"Threatened species; Endangered species; Biology; Population; Overexploitation; Critically endangered; Conservation genetics; Ecology; Wildlife conservation; Biodiversity; Geography; Evolutionary biology; Wildlife; Genetics; Microsatellite; Habitat","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":[],"consensus_categories":[],"category_scores_codex":[0.00009631995,0.0001110715,0.00011973,0.00003251246,0.00009608309,0.0000123026,0.0001894528,0.00007143724,0.00007440983],"category_scores_gemma":[0.00002425835,0.0001004289,0.00008356685,0.00007629169,0.00008943459,0.000003034308,0.0002037926,0.0000743519,8.825135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007330872,"about_ca_system_score_gemma":0.0001502801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006864964,"about_ca_topic_score_gemma":0.00002691722,"domain_scores_codex":[0.9993126,0.00005329622,0.0001876332,0.0002227745,0.0000954405,0.0001282657],"domain_scores_gemma":[0.9994968,0.000009169954,0.00008847817,0.0003227976,0.00004012464,0.0000426441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004829841,0.00008909839,0.008491752,0.000009848151,0.00004679108,0.000003430431,0.00002913684,0.00002700471,0.9646394,0.009874701,0.01498234,0.001758236],"study_design_scores_gemma":[0.002129178,0.002534785,0.055199,0.00003280218,0.0001603038,0.0002229198,0.0007957884,0.0006068741,0.5743127,0.01872004,0.3440973,0.001188187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775196,0.0007592614,0.01721527,0.002151083,0.00003843992,0.0002413379,0.0000889393,0.000021616,0.001964393],"genre_scores_gemma":[0.992368,0.0002563161,0.002131138,0.001156873,0.00007150932,0.00008848527,0.0006007814,0.00001739072,0.003309509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903266,"threshold_uncertainty_score":0.409537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691100089164653,"score_gpt":0.2589176780867821,"score_spread":0.2420066771951356,"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."}}