{"id":"W2885943266","doi":"10.1093/molbev/msy154","title":"Integrative Population and Physiological Genomics Reveals Mechanisms of Adaptation in Killifish","year":2018,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Natural Sciences and Engineering Research Council of Canada; University of the Western Cape; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Science Foundation","keywords":"Biology; Fundulus; Local adaptation; Evolutionary biology; Genome-wide association study; Population; Killifish; Population genomics; Genomics; Genetics; Adaptation (eye); Association mapping; Genome; Genotype; Single-nucleotide polymorphism; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004166209,0.0002345702,0.0002340778,0.0007409517,0.0002576691,0.0002464541,0.0002672906,0.0002780779,0.0008477451],"category_scores_gemma":[0.0004052519,0.0001289846,0.0002915512,0.0004329357,0.0003592298,0.0001834292,0.0004457836,0.0003002698,0.00007061152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450342,"about_ca_system_score_gemma":0.0002038508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005564822,"about_ca_topic_score_gemma":0.008107872,"domain_scores_codex":[0.9998291,0.0000235385,0.000008310643,0.00008675255,0.00002612302,0.00002614699],"domain_scores_gemma":[0.9997862,0.00005929951,0.00006876115,0.00002796186,0.00002524578,0.00003248871],"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":[0.000481045,0.00008592931,0.2155649,0.0001042475,0.0003305597,0.0002491862,0.001088176,0.001687448,0.7492917,0.0005968702,0.000122304,0.03039773],"study_design_scores_gemma":[0.000005960457,0.00006142058,0.9963529,0.000003052283,0.00003810022,0.0000809649,0.0001392495,0.001066271,0.001949776,0.0001313557,0.0001624639,0.000008458601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986804,0.00007035364,0.0009236644,0.00001630832,8.465066e-7,0.000002905409,0.00009429875,0.00001270845,0.0001984371],"genre_scores_gemma":[0.9983143,0.00004956286,0.001048192,0.00003521682,0.00000344566,0.00001083748,0.0002945642,0.000007810203,0.0002361289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005564822,"threshold_uncertainty_score":0.01106483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560550485636743,"score_gpt":0.2596082627332839,"score_spread":0.2440027578769164,"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."}}