{"id":"W4211264318","doi":"10.1111/cobi.13900","title":"Selection of both habitat and genes in specialized and endangered caribou","year":2022,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Yukon Department of Environment; Ministry of Forests; Government of British Columbia; Alberta Environment and Protected Areas; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Canada's Oil Sands Innovation Alliance; Environment and Climate Change Canada; University of Cambridge; Parks Canada; Compute Canada; Canadian Association of Petroleum Producers; Western Canada Research Grid; Alberta Innovates; McGill University; Alberta Conservation Association","keywords":"Ecotype; Habitat; Endangered species; Selection (genetic algorithm); Biology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009153431,0.0000467026,0.00007962889,0.00004962613,0.00006353137,0.000003187121,0.00003296607,0.00005679532,0.00004819062],"category_scores_gemma":[0.00002428634,0.00005169486,0.00001181961,0.00006947382,0.00006277528,0.000001661466,0.00007679049,0.00003510823,9.671368e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005714036,"about_ca_system_score_gemma":0.00002499363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904522,"about_ca_topic_score_gemma":0.000551113,"domain_scores_codex":[0.9995779,0.00009384252,0.0001032938,0.0001374303,0.00002706694,0.00006040996],"domain_scores_gemma":[0.9998412,0.00001051263,0.00005723548,0.00004993466,0.00002596623,0.00001522594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006617152,0.00000629833,0.7304821,0.000005446196,0.000008380901,1.673327e-7,0.0000799064,0.00001590251,0.2668684,0.0005974101,0.000282342,0.00158749],"study_design_scores_gemma":[0.0008231591,0.000213327,0.9128204,0.000001230264,0.000008195229,0.00001702213,0.0001605471,0.0001098501,0.01473575,0.0007224924,0.07029953,0.00008848283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987218,0.0005379826,0.0001231637,0.0003278506,0.00008221783,0.00008323971,0.00004585316,0.000002602523,0.00007534027],"genre_scores_gemma":[0.9987881,0.0001291456,0.0004853563,0.0002745537,0.00002445882,0.000006174915,0.0002113322,0.000002613486,0.00007827367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2521326,"threshold_uncertainty_score":0.2108055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611390309618051,"score_gpt":0.2420603692989502,"score_spread":0.2259464662027697,"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."}}