{"id":"W2154215837","doi":"10.1111/j.1365-294x.2010.04822.x","title":"Positive relationships between genetic diversity and abundance in fishes","year":2010,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Biology; Genetic diversity; Nucleotide diversity; Mitochondrial DNA; Microsatellite; Evolutionary biology; Population; Abundance (ecology); Effective population size; Population genetics; Ecology; Haplotype; Genetic variation; Genetics; Gene; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001115499,0.00009956401,0.0001115175,0.00005693911,0.0002727858,0.00000998644,0.0001315566,0.0002777029,0.00002851664],"category_scores_gemma":[0.00009470875,0.0001158075,0.00003254436,0.00007113082,0.0001202994,0.000003351423,0.0004521482,0.0002328356,0.00000688314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006178458,"about_ca_system_score_gemma":0.00002000123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004873124,"about_ca_topic_score_gemma":0.0008490202,"domain_scores_codex":[0.9992762,0.0001005454,0.0001114827,0.0002792561,0.00006358533,0.0001689244],"domain_scores_gemma":[0.9996484,0.00002200482,0.00004585346,0.0001742469,0.00003793895,0.00007156411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001213281,0.00001002512,0.9713939,0.000003363895,0.00001783015,0.0000144613,0.0001750644,0.00006413042,0.02757197,0.0002376609,0.0000640802,0.0004353879],"study_design_scores_gemma":[0.000367409,0.00007123871,0.9909191,0.000001458602,0.00001757351,0.000016656,0.00003611171,0.00001317604,0.006057318,0.001250515,0.001125202,0.000124267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998319,0.00006960089,0.0005684663,0.0002905508,0.0001185265,0.0001282048,0.00001829612,0.000006123968,0.0004812129],"genre_scores_gemma":[0.9976121,0.00001285203,0.001933429,0.0002176534,0.00004803428,0.000002825188,0.00006339277,0.000006961569,0.0001027761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02151465,"threshold_uncertainty_score":0.4722493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106424713610443,"score_gpt":0.2156559019429293,"score_spread":0.2045916548068249,"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."}}