{"id":"W2897367163","doi":"10.1111/jfb.13833","title":"Genetic variation and population structure among larval<i>Lethenteron</i>spp. within the Yukon River drainage, Alaska","year":2018,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Alaska Department of Fish and Game; Massachusetts Department of Fish and Game","keywords":"Biology; Gene flow; Microsatellite; Genetic variation; Genetic structure; Population; Ecology; Larva; Zoology; Demography; Gene; Genetics; Allele","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":[0.0002691531,0.00009450054,0.0001128224,0.0007154683,0.0003824222,0.0003491742,0.0001468324,0.0001126516,0.0003696994],"category_scores_gemma":[0.0003266092,0.0001170195,0.0001298689,0.0003904937,0.0003842773,0.0001620092,0.0003215064,0.0001038891,0.00004621559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005496885,"about_ca_system_score_gemma":0.000263944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03390329,"about_ca_topic_score_gemma":0.06868966,"domain_scores_codex":[0.999877,0.00002084078,0.00001504671,0.00004612793,0.00002111625,0.00001996306],"domain_scores_gemma":[0.9997838,0.00003748427,0.00008846879,0.00001559517,0.0000402514,0.00003436337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006975406,0.0000176767,0.9863297,0.000009855561,0.00005116034,0.00006639134,0.001069653,0.000420849,0.008259063,0.00006977707,0.00002715142,0.003608984],"study_design_scores_gemma":[0.000001194956,0.00001569404,0.9991953,0.000002946869,0.00000843886,0.00002701023,0.0003950785,0.0002079229,0.00009198707,0.0000190137,0.00003372047,0.000001727105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998991,0.000007101528,0.00002419296,0.000001191544,1.257184e-7,4.564095e-7,0.000008533854,6.23698e-7,0.00005848439],"genre_scores_gemma":[0.9998611,0.00001048276,0.00004633707,0.000001317976,2.208293e-7,0.000001160268,0.00003640974,2.947968e-7,0.00004261694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03390329,"threshold_uncertainty_score":0.0674119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005313070007722126,"score_gpt":0.2105042401748167,"score_spread":0.2051911701670946,"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."}}