{"id":"W4307563137","doi":"10.1111/eva.13495","title":"Demographic history and conservation genomics of caribou (<i>Rangifer tarandus</i>) in Québec","year":2022,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec; Université Laval; Ministère des Ressources naturelles et des Forêts; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Genome Canada","keywords":"Biology; Genomics; Conservation biology; Diversity (politics); Genetic diversity; Ecology; Population genomics; Evolutionary biology; Genome; Genetics; Population; Gene; Demography","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":[0.0003670422,0.0001105713,0.000162423,0.0007733212,0.001179834,0.0005557511,0.000327698,0.0001798149,0.001657957],"category_scores_gemma":[0.0005557206,0.00005718481,0.0001248875,0.001297456,0.0004106655,0.0001607796,0.0002309899,0.0002344794,0.0001027245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00567957,"about_ca_system_score_gemma":0.003011899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9533539,"about_ca_topic_score_gemma":0.97833,"domain_scores_codex":[0.9998707,0.00001807908,0.000003716536,0.00004652438,0.00002204928,0.00003898264],"domain_scores_gemma":[0.9995058,0.00006035103,0.00007141013,0.00001819964,0.000273238,0.00007113809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001080447,0.00002904843,0.9611905,0.00003542826,0.00007683078,0.0001475832,0.002843839,0.001303133,0.01092207,0.0005035531,0.0008263271,0.02201361],"study_design_scores_gemma":[0.00000202846,0.00001173981,0.9971591,0.000009862633,0.000008253689,0.00003600281,0.0008055998,0.0006511061,0.0001684384,0.00003002045,0.001112391,0.000005520735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974257,0.0001694059,0.0003831769,0.00006701879,0.00000163693,0.000007444119,0.0009750178,0.000008219828,0.0009622498],"genre_scores_gemma":[0.9980392,0.00008868695,0.0003882465,0.00003670117,9.442009e-7,0.000006251929,0.0006464629,0.000003677396,0.0007898603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04664606,"threshold_uncertainty_score":0.09384149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008253587534146177,"score_gpt":0.192269943721244,"score_spread":0.1840163561870979,"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."}}