{"id":"W6930013722","doi":"10.5281/zenodo.11328319","title":"Myotis nigricans","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; IUCN Red List; Taxonomy (biology); Endangered species","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007120208,0.0005674095,0.0002281599,0.000943576,0.0009359951,0.0002419731,0.0003659099,0.0002890892,0.009325246],"category_scores_gemma":[0.0002190039,0.0001198306,0.0001405734,0.0004161171,0.0002656697,0.000411075,0.0007044255,0.0002167192,0.005481242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837891,"about_ca_system_score_gemma":0.0002066129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151457,"about_ca_topic_score_gemma":0.0442346,"domain_scores_codex":[0.999873,0.00001237231,0.00000891182,0.00004986515,0.00003855165,0.00001729623],"domain_scores_gemma":[0.9999363,0.000005078729,0.00002751438,0.00000500414,0.00001743571,0.000008680749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003870837,0.000119038,0.049039,0.001238681,0.0001179117,0.002388143,0.001464347,0.0008882753,0.1557005,0.007073227,0.03317813,0.7484057],"study_design_scores_gemma":[0.00002619563,0.0002921725,0.4121605,0.0003361088,0.0001035355,0.008901997,0.000842438,0.0007797288,0.008454901,0.001605432,0.5664597,0.00003738011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4032947,0.0235503,0.006910475,0.001066316,0.000633443,0.0003784904,0.005221302,0.0007114136,0.5582335],"genre_scores_gemma":[0.8722464,0.005788144,0.00581518,0.0009680613,0.0002205743,0.0001513158,0.005163205,0.00003489868,0.1096122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0151457,"threshold_uncertainty_score":0.031196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633701080218606,"score_gpt":0.250273140350797,"score_spread":0.2339361295486109,"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."}}