{"id":"W2155804182","doi":"10.1016/j.jglr.2015.04.006","title":"Patterns of genetic structure of Eurasian perch (Perca fluviatilis L.) in Lake Geneva at the end of the spawning season","year":2015,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perch; Fishery; Genetic structure; Biology; Population; Population structure; Geography; Percidae; Fish <Actinopterygii>; Microsatellite; Ecology; Genetic diversity; Gene; Demography; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001971905,0.0001592033,0.0001938794,0.0009033414,0.0004476528,0.0004162175,0.0002225133,0.0003720635,0.001102231],"category_scores_gemma":[0.0005869933,0.0001938603,0.0001729041,0.0005475169,0.0005813523,0.0002621298,0.0005108358,0.0002000279,0.0001595198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006117792,"about_ca_system_score_gemma":0.0002918672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03286345,"about_ca_topic_score_gemma":0.0738323,"domain_scores_codex":[0.9998361,0.00002865578,0.00001253205,0.000054097,0.00002797681,0.0000406345],"domain_scores_gemma":[0.9993777,0.00007722657,0.000238756,0.00002316972,0.0001180764,0.0001650225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002223412,0.00001556047,0.9896809,0.000009148805,0.00003712099,0.00007474871,0.001481291,0.0001549243,0.006916132,0.00004153431,0.0000744384,0.00129172],"study_design_scores_gemma":[0.000001215993,0.00001574746,0.9996717,0.000001012897,0.000002233507,0.0000107915,0.0002045475,0.00003736251,0.00003215188,0.000004375903,0.00001749787,0.000001324756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998228,0.00001169289,0.00001321975,0.000005386234,3.860056e-7,5.970736e-7,0.00004726283,8.074255e-7,0.00009801635],"genre_scores_gemma":[0.9996972,0.000008665434,0.00002263554,0.000003003964,6.834859e-7,0.000002249192,0.0001006208,8.045448e-7,0.0001641262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03286345,"threshold_uncertainty_score":0.06534427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488945670304016,"score_gpt":0.315819239843087,"score_spread":0.2709297831400468,"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."}}