{"id":"W4401804719","doi":"10.22541/au.172443831.19949265/v1","title":"Population Genomics of Adaptive Radiation","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Wyoming; National Science Foundation","keywords":"Adaptive radiation; Population genomics; Evolutionary biology; Biology; Genomics; Adaptation (eye); Population; Diversification (marketing strategy); Genetic algorithm; Local adaptation; Data science; Population biology; Genome; Ecology; Phylogenetics; Genetics; Computer science; Gene; Sociology; Demography","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":[0.0009409837,0.0002398405,0.0004771845,0.0006822456,0.0004950308,0.001267416,0.000398215,0.0009536712,0.001838483],"category_scores_gemma":[0.001765975,0.0001898262,0.0003306346,0.0008174353,0.0009692273,0.001542425,0.000875834,0.001344861,0.0004657175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505002,"about_ca_system_score_gemma":0.0004083498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000883728,"about_ca_topic_score_gemma":0.000634299,"domain_scores_codex":[0.9996638,0.00009544271,0.00001305552,0.0001321858,0.00005998883,0.00003544079],"domain_scores_gemma":[0.9995852,0.0002085071,0.00005180747,0.00005536228,0.00005921283,0.0000399105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001513191,0.00005573447,0.02567847,0.001116262,0.0003688522,0.0003569665,0.00137338,0.01363458,0.1509079,0.4767873,0.009773743,0.3197955],"study_design_scores_gemma":[0.0000324154,0.0001445876,0.1042524,0.0002138319,0.0001056587,0.0006586279,0.0006182563,0.01196523,0.01210107,0.7399355,0.1298797,0.00009280498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3887241,0.07140002,0.3937581,0.0206615,0.001072012,0.0001126547,0.00393841,0.001549891,0.1187833],"genre_scores_gemma":[0.9078732,0.01886539,0.05992485,0.003384924,0.0008578588,0.0001520736,0.002035746,0.0002715699,0.006634557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001838483,"threshold_uncertainty_score":0.006150305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345701506124389,"score_gpt":0.2404361034289198,"score_spread":0.2269790883676759,"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."}}