{"id":"W3137907781","doi":"10.1111/ele.13732","title":"Macrogenetic studies must not ignore limitations of genetic markers and scale","year":2021,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agence Nationale de la Recherche","keywords":"Ecology; Biology; Scale (ratio); Genetic diversity; Evolutionary biology; Conservation genetics; Mitochondrial DNA; Biodiversity; Geography; Genetics; Microsatellite; Demography; Cartography; Population; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004714441,0.00009771228,0.0001403333,0.00003536168,0.00008516906,0.000006952775,0.00007496841,0.00009916924,0.00003261529],"category_scores_gemma":[0.00008420229,0.0001067077,0.00005577762,0.00006817988,0.0002235907,0.00000174707,0.0001229476,0.00004911544,0.000004317948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006904205,"about_ca_system_score_gemma":0.00003120586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003276233,"about_ca_topic_score_gemma":0.0002289278,"domain_scores_codex":[0.9993079,0.00007768584,0.0001544223,0.0002493421,0.00006435219,0.000146259],"domain_scores_gemma":[0.9995776,0.00003958254,0.0000658736,0.0001798217,0.00009186582,0.00004526346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004733157,0.00003009447,0.4347399,0.00004358159,0.0002935473,0.000025695,0.0003661977,0.0008045207,0.5526941,0.00002401688,0.007251454,0.003679511],"study_design_scores_gemma":[0.0005258098,0.0001015757,0.9403445,0.000005559046,0.0001026583,0.00006017671,0.0007787769,0.00001383952,0.05085384,0.00004994186,0.007015453,0.0001479241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964994,0.0009806246,0.0001078829,0.001974414,0.0002190234,0.00007994084,0.00002441051,0.000004386683,0.0001098975],"genre_scores_gemma":[0.9910365,0.0008963515,0.005139857,0.002610987,0.00005309784,0.000004823935,0.00005218465,0.000007966656,0.0001981823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5056045,"threshold_uncertainty_score":0.4351413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613886159327988,"score_gpt":0.2395642094219775,"score_spread":0.2134253478286976,"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."}}