{"id":"W2569003638","doi":"10.1214/16-aoas964","title":"Inferring rooted population trees using asymmetric neighbor joining","year":2016,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Artificial intelligence; Computer science; Mathematics; Geography; Demography; 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":[0.0001381141,0.0000959712,0.0001130627,0.00005644117,0.00009648679,0.00001211939,0.0001341867,0.00007381602,0.00002387577],"category_scores_gemma":[0.00008373743,0.00006361245,0.00003285202,0.0001227146,0.00004885704,0.000002825752,0.00007736439,0.00003573926,0.000003549667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003876852,"about_ca_system_score_gemma":0.00001962945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003547004,"about_ca_topic_score_gemma":0.00001937179,"domain_scores_codex":[0.9993544,0.00002462953,0.0001908585,0.000139859,0.0001445382,0.0001457318],"domain_scores_gemma":[0.9994473,0.0000396295,0.0001660876,0.0002153707,0.00009422017,0.00003737815],"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":[0.0005661028,0.00006184719,0.03376963,0.00005936555,0.0002862709,0.00000208558,0.0003930432,0.01268784,0.6884413,0.05689302,0.00472395,0.2021156],"study_design_scores_gemma":[0.001500335,0.0002649368,0.698015,0.00005788536,0.0001354837,0.000007640064,0.0002386237,0.001645291,0.2576973,0.02996065,0.009864996,0.0006118285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947126,0.0000696819,0.1036632,0.00009932843,0.00007973333,0.0001139563,0.0002208235,0.000007981338,0.001032667],"genre_scores_gemma":[0.9920478,0.00004955248,0.007487464,0.0001696239,0.0000860347,0.00000107232,0.00007683819,0.00001032925,0.0000713282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642454,"threshold_uncertainty_score":0.259404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06098441619541242,"score_gpt":0.3102171999441594,"score_spread":0.2492327837487469,"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."}}