{"id":"W4405023300","doi":"10.1371/journal.pcbi.1012651","title":"Measuring genetic diversity across populations","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Genetic diversity; Diversity (politics); Pairwise comparison; Population; Biology; Biodiversity; Evolutionary biology; Ecology; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004978751,0.0004354236,0.000764697,0.002743311,0.0007272114,0.001718429,0.0007545839,0.0005740742,0.0006236587],"category_scores_gemma":[0.02147882,0.0002168825,0.0006616719,0.002783705,0.001334192,0.001627049,0.001665747,0.0008377982,0.0001120721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008752755,"about_ca_system_score_gemma":0.0005946531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023774,"about_ca_topic_score_gemma":0.002584697,"domain_scores_codex":[0.9968161,0.001212998,0.0002302136,0.001139526,0.0004844955,0.0001168037],"domain_scores_gemma":[0.990889,0.005844257,0.0009564442,0.001476393,0.0006395332,0.000194347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002694141,0.0001250616,0.5123127,0.0004524755,0.00207698,0.0001958923,0.001873421,0.2495927,0.01737181,0.02931098,0.001479731,0.184939],"study_design_scores_gemma":[0.00006668462,0.0003721717,0.3580422,0.0001488259,0.0003440299,0.0004772063,0.001270166,0.4792224,0.01127316,0.1428847,0.005701847,0.0001964855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093355,0.0004917186,0.1860462,0.0001904097,0.00002495063,0.00006990634,0.00123583,0.0002269597,0.002378514],"genre_scores_gemma":[0.9577581,0.0001006918,0.04068993,0.00005941389,0.00001616563,0.00005756176,0.001146655,0.00002372546,0.0001477542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004978751,"threshold_uncertainty_score":0.02633041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06783371134359899,"score_gpt":0.2871478459372249,"score_spread":0.2193141345936259,"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."}}