{"id":"W7097047129","doi":"","title":"RESEARCH ARTICLE Dispersal promotes high gene flow among Canada lynx populations across mainland North America","year":2011,"lang":"en","type":"article","venue":"","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Gene flow; Population; Mainland; Range (aeronautics); Genetic structure; Microsatellite","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":[0.0004184493,0.0001054337,0.0001833344,0.001008381,0.00115325,0.000851098,0.0003066881,0.0001277273,0.001389839],"category_scores_gemma":[0.001012695,0.0000734278,0.0001562509,0.000918558,0.0007280897,0.0002420396,0.0005136183,0.0001853804,0.00004844884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003825899,"about_ca_system_score_gemma":0.00494962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.896322,"about_ca_topic_score_gemma":0.9633522,"domain_scores_codex":[0.9998195,0.00001974695,0.000008789205,0.00005978551,0.00004203794,0.00005013379],"domain_scores_gemma":[0.9993263,0.0001053748,0.0001865923,0.00002471075,0.0002144563,0.0001425904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009440592,0.00001412211,0.9836251,0.00003308973,0.0000946914,0.0001225318,0.001879445,0.0004357661,0.00411818,0.0002436653,0.0004932587,0.00884576],"study_design_scores_gemma":[0.000003713959,0.000005597551,0.9987041,0.0000103075,0.00001299229,0.0000213931,0.000713371,0.0001887636,0.00006682384,0.0000293383,0.0002412075,0.000002361585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987881,0.0001198111,0.00006535945,0.00004428883,0.000001454623,0.000003436627,0.0001198567,0.000002858939,0.0008548851],"genre_scores_gemma":[0.9995426,0.00007070837,0.0001022289,0.00001584691,0.000001415462,0.00000193555,0.000102701,0.000001164568,0.0001615068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.103678,"threshold_uncertainty_score":0.2085771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382848997488214,"score_gpt":0.270926138085288,"score_spread":0.2370976481104058,"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."}}