{"id":"W4214710337","doi":"10.1101/2022.02.22.481549","title":"Quantitative Evaluation of Nonlinear Methods for Population Structure Visualization & Inference","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Population; Computer science; Inference; Population stratification; Artificial intelligence; Dimensionality reduction; Machine learning; Context (archaeology); Data mining; Biology; Genetics","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":[0.01676543,0.001378947,0.0007775871,0.00298813,0.0006506107,0.002184571,0.001173528,0.001504613,0.002282095],"category_scores_gemma":[0.05819959,0.000305053,0.0007710904,0.001937022,0.001683385,0.002052136,0.001895103,0.001311089,0.0003737154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392867,"about_ca_system_score_gemma":0.001310678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875755,"about_ca_topic_score_gemma":0.00506312,"domain_scores_codex":[0.9917192,0.005635517,0.00037478,0.0005152073,0.001603626,0.0001515256],"domain_scores_gemma":[0.9496952,0.0402866,0.002189838,0.002934812,0.004448579,0.0004449567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006036022,0.000242425,0.01538067,0.0007134481,0.0004388155,0.0001104879,0.0003316896,0.6200382,0.009354918,0.02890647,0.003015126,0.3208642],"study_design_scores_gemma":[0.00001748522,0.00009048347,0.001854283,0.00002590344,0.00001689536,0.00003786047,0.00004637121,0.9880109,0.002929753,0.006367329,0.0005854928,0.0000171934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04580947,0.0008517054,0.9490418,0.0007535307,0.00007410121,0.0001480758,0.000405424,0.0009351549,0.001980766],"genre_scores_gemma":[0.3887151,0.0004413212,0.6082453,0.0001480884,0.0000522415,0.000284995,0.0006454511,0.0003141336,0.001153457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01676543,"threshold_uncertainty_score":0.08866513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05220692986186228,"score_gpt":0.3649978373999691,"score_spread":0.3127909075381068,"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."}}