{"id":"W2602027520","doi":"10.1111/1755-0998.12669","title":"Unbroken: RADseq remains a powerful tool for understanding the genetics of adaptation in natural populations","year":2017,"lang":"en","type":"letter","venue":"Molecular Ecology Resources","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; Linkage disequilibrium; Selection (genetic algorithm); Adaptation (eye); Natural selection; Genome; Population; Disequilibrium; Computational biology; Genomics; Evolutionary biology; Ecological genetics; Population genetics; Range (aeronautics); Genetics; Artificial intelligence; Computer science; Allele; Gene; Haplotype","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":[0.0002729795,0.0002335226,0.0003106285,0.0001202093,0.0002404174,0.00005089754,0.000507926,0.0006515238,0.000008830339],"category_scores_gemma":[0.0002205731,0.0001982123,0.0002059958,0.0000482329,0.0002201866,0.000002354769,0.0001457738,0.0003462545,0.000001828518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003247505,"about_ca_system_score_gemma":0.00008394272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002358227,"about_ca_topic_score_gemma":0.0002722252,"domain_scores_codex":[0.9986222,0.0001533029,0.0003148091,0.0004085943,0.000157576,0.0003435229],"domain_scores_gemma":[0.9989671,0.00006941157,0.0003591737,0.0005012619,0.00008126141,0.00002179688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004691766,0.0001706684,0.02519151,0.0006263827,0.0009449843,0.0003651624,0.001991309,0.006874835,0.06866676,0.0009980372,0.892818,0.0008832134],"study_design_scores_gemma":[0.002606977,0.001100486,0.01674393,0.0002033344,0.0004523961,0.0001142239,0.001393529,0.002377813,0.003533233,0.00565365,0.9646273,0.00119319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887081,0.003890635,0.01032205,0.09270777,0.001040788,0.001438095,0.0004033176,0.00001794303,0.001471289],"genre_scores_gemma":[0.9727131,0.00008204848,0.000952606,0.02318896,0.0004887727,0.00002572532,0.0008073098,0.00003170119,0.001709816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08400495,"threshold_uncertainty_score":0.8082864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842013502648453,"score_gpt":0.2625279309375407,"score_spread":0.2241077959110561,"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."}}