{"id":"W2055084345","doi":"10.1139/f08-093","title":"Species traits influence the genetic consequences of river fragmentation on two co-occurring redhorse (Moxostoma) species","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Population fragmentation; Population; Biology; Habitat fragmentation; Genetic diversity; Fragmentation (computing); Habitat; Geography; Gene flow; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002136112,0.0001674775,0.0001715881,0.0005216425,0.0003976725,0.0002859505,0.0001834626,0.0001779257,0.000710471],"category_scores_gemma":[0.0005917241,0.0001313175,0.0001106855,0.0003361609,0.0004063848,0.0001361093,0.000363579,0.0002072739,0.00005835011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388457,"about_ca_system_score_gemma":0.0002194238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037024,"about_ca_topic_score_gemma":0.1024517,"domain_scores_codex":[0.9998654,0.00002879903,0.00000679903,0.00005244625,0.00002269062,0.00002390752],"domain_scores_gemma":[0.999588,0.00009626371,0.0001524188,0.00002302538,0.00005480235,0.00008559636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003976958,0.0001064625,0.8699526,0.00003054132,0.0001106444,0.0002496691,0.001397752,0.0003272936,0.1206952,0.000129945,0.00007588497,0.00652634],"study_design_scores_gemma":[0.000004845145,0.00005743968,0.9988564,0.000002272758,0.00001440789,0.00007185831,0.0001678205,0.0002132522,0.0005018724,0.00001836753,0.00008868165,0.000002753255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999226,0.000009154254,0.00001161313,0.000001420063,1.567803e-7,6.213072e-7,0.000008845066,4.615477e-7,0.00004506002],"genre_scores_gemma":[0.9997132,0.00001347014,0.000101276,0.000005974226,4.975776e-7,0.000002515635,0.00005959923,9.816023e-7,0.0001023711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02037024,"threshold_uncertainty_score":0.04050338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882106935560547,"score_gpt":0.2404897168931367,"score_spread":0.2116686475375313,"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."}}