{"id":"W3047083910","doi":"10.1038/s41437-020-0348-2","title":"The influence of a priori grouping on inference of genetic clusters: simulation study and literature review of the DAPC method","year":2020,"lang":"en","type":"review","venue":"Heredity","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"","keywords":"A priori and a posteriori; Inference; Biology; Principal component analysis; Evolutionary biology; Cluster (spacecraft); Population; Taxon; Computer science; Demography; Paleontology; Artificial intelligence","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":[0.1131068,0.001315182,0.003185683,0.01017197,0.001269843,0.004204398,0.004118997,0.002209001,0.003401263],"category_scores_gemma":[0.3338343,0.0009431599,0.004688141,0.009727883,0.001967477,0.003061353,0.002188133,0.002708401,0.0006468663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968045,"about_ca_system_score_gemma":0.009676104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031655,"about_ca_topic_score_gemma":0.01005793,"domain_scores_codex":[0.9106904,0.06755199,0.009326736,0.003888939,0.008040646,0.0005013227],"domain_scores_gemma":[0.4206349,0.5204698,0.01663497,0.009742696,0.03154124,0.000976357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009545375,0.0002257548,0.03671568,0.09233586,0.009205112,0.001272735,0.002728091,0.05776377,0.001001298,0.03486436,0.02338637,0.7395465],"study_design_scores_gemma":[0.0008274702,0.001672007,0.04240946,0.2466154,0.02990132,0.002568013,0.004534243,0.2714003,0.009241516,0.1321564,0.2575903,0.001083596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.03518902,0.6212945,0.3112335,0.01703584,0.001454172,0.001742895,0.00227066,0.0007548053,0.009024714],"genre_scores_gemma":[0.3753937,0.3225092,0.2895732,0.004334113,0.001158358,0.003271036,0.002358543,0.0004444319,0.0009574714],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1131068,"threshold_uncertainty_score":0.5981731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270367681979728,"score_gpt":0.3493763471246783,"score_spread":0.316672670304881,"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."}}