{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002347888,0.0001313906,0.0001858747,0.0006066935,0.0003304229,0.0003122611,0.0001572075,0.0001468865,0.0007529308],"category_scores_gemma":[0.0005866113,0.00007813502,0.00009821181,0.0005776593,0.000479956,0.0001319896,0.0002448338,0.0001277788,0.00006070637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159182,"about_ca_system_score_gemma":0.0002972622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03028768,"about_ca_topic_score_gemma":0.1176405,"domain_scores_codex":[0.9998338,0.00004303275,0.000009425799,0.00004909678,0.00002626932,0.00003835133],"domain_scores_gemma":[0.999608,0.0001010465,0.000116161,0.00003391194,0.00005421345,0.00008671964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009560984,0.00001442033,0.9735177,0.00000814806,0.00005214363,0.0001379817,0.0007767774,0.0001116172,0.02198668,0.0001043645,0.00002152599,0.003173188],"study_design_scores_gemma":[0.00000126835,0.00001887783,0.9988899,0.000001942787,0.000008581024,0.0001174828,0.0003123462,0.0001431511,0.0003826387,0.00004449979,0.00007739054,0.000002016745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998553,0.00001803124,0.00005755154,0.000002365739,2.689357e-7,3.767672e-7,0.0000148628,5.443463e-7,0.0000506384],"genre_scores_gemma":[0.9996792,0.00001646312,0.0001353174,0.000004496525,4.606175e-7,0.000001128884,0.00005671326,9.265635e-7,0.0001053579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03028768,"threshold_uncertainty_score":0.0602228,"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."}}