{"id":"W2802776035","doi":"10.1111/ddi.12748","title":"Population structure of caribou in an ice‐bound archipelago","year":2018,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Ecology; Genetic diversity; Archipelago; Subspecies; Population; Geography; Biology; Genetic structure; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003679281,0.00006731835,0.00007922982,0.00003897188,0.000411078,0.00001042365,0.00009278532,0.0001080052,0.00004050026],"category_scores_gemma":[0.00002264745,0.00007350724,0.00002595497,0.0000926762,0.0001389524,0.000009858187,0.000287616,0.00004750616,6.533788e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007935807,"about_ca_system_score_gemma":0.00001250828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007131009,"about_ca_topic_score_gemma":0.002782282,"domain_scores_codex":[0.9995325,0.00003603528,0.00008504812,0.0001667679,0.00007698914,0.0001026154],"domain_scores_gemma":[0.9996822,0.000003576772,0.00004298956,0.0001370061,0.00007602527,0.00005820621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006443909,0.00002954065,0.9782118,0.00000880254,0.00001227976,5.7619e-7,0.0006184411,0.00003619266,0.01719688,0.003258135,0.00008298274,0.0004799124],"study_design_scores_gemma":[0.0003396592,0.0001191602,0.9916334,0.000003674412,0.00001872445,0.000002802599,0.0002836815,0.00004187506,0.005176954,0.001792832,0.0004984782,0.00008879784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979827,0.00003069525,0.0007749757,0.00002369581,0.00007596348,0.00006295956,0.000963681,0.000004196308,0.00008112466],"genre_scores_gemma":[0.997787,0.000007309103,0.000197814,0.00003204808,0.00005781288,1.621468e-7,0.001901503,0.00000178257,0.00001455641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342154,"threshold_uncertainty_score":0.3161721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534120897089643,"score_gpt":0.2486320286338947,"score_spread":0.2332908196629982,"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."}}