{"id":"W3009684153","doi":"10.1111/mec.15405","title":"Unraveling hierarchical genetic structure in a marine metapopulation: A comparison of three high‐throughput genotyping approaches","year":2020,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Division of Ocean Sciences","keywords":"Biology; Genetic structure; Metapopulation; Evolutionary biology; Genotyping; Population; Microsatellite; Genetic variation; Genetics; Allele; Genotype; Biological dispersal; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0061318,0.0005753861,0.001039589,0.001819375,0.0006364902,0.001579568,0.0008535848,0.0007549108,0.0003008276],"category_scores_gemma":[0.006454169,0.0006497936,0.001739387,0.001377237,0.0005169331,0.0007222607,0.0011357,0.0009573696,0.0001504766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008163319,"about_ca_system_score_gemma":0.0007161874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004178917,"about_ca_topic_score_gemma":0.01182772,"domain_scores_codex":[0.9969357,0.001225946,0.0002047476,0.0006739623,0.0007671773,0.0001924534],"domain_scores_gemma":[0.9946271,0.002624073,0.0008545032,0.0008794863,0.000755557,0.0002593033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001453854,0.0005816224,0.4643132,0.001054244,0.006045111,0.0002631762,0.002758015,0.02017143,0.3293052,0.002999651,0.000471102,0.1705834],"study_design_scores_gemma":[0.0001157921,0.0006032172,0.8877005,0.0001457842,0.002327279,0.0004081424,0.0006463536,0.06414562,0.0383216,0.002592894,0.002782715,0.0002101159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056666,0.002092468,0.08959041,0.0001543052,0.00002932187,0.0002167531,0.0006762534,0.0003114602,0.001262309],"genre_scores_gemma":[0.8806858,0.001329164,0.1158333,0.0002026175,0.00002282677,0.0003040782,0.001124318,0.00005945484,0.0004384209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0061318,"threshold_uncertainty_score":0.03242844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839738202340624,"score_gpt":0.2497637567539831,"score_spread":0.2113663747305768,"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."}}