{"id":"W3117452673","doi":"10.3390/genes12010005","title":"Using Reciprocal Transplants to Assess Local Adaptation, Genetic Rescue, and Sexual Selection in Newly Established Populations","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Institut Polaire Français Paul Emile Victor","keywords":"Local adaptation; Biology; Gene flow; Selection (genetic algorithm); Population; Adaptation (eye); Evolutionary biology; Sexual selection; Genetic variation; Intraspecific competition; Gene pool; Genetic diversity; Genetics; Gene; Ecology; Demography; Computer science","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":[0.00004547836,0.0001031771,0.00009762905,0.00005118535,0.00008705467,0.00003156139,0.00006980122,0.0001168923,0.00001550304],"category_scores_gemma":[0.00002390209,0.000115139,0.0000170612,0.0002053026,0.0000231047,0.000007580728,0.00003540518,0.00005394175,0.00000233472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009600596,"about_ca_system_score_gemma":0.00005221599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002503658,"about_ca_topic_score_gemma":0.001437495,"domain_scores_codex":[0.9992386,0.00005617382,0.0001576594,0.0002981829,0.000104321,0.0001450692],"domain_scores_gemma":[0.9997326,0.000003416511,0.00002650676,0.00006434979,0.00005548814,0.0001176544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001975036,0.00001667201,0.1755336,0.00003423978,0.00001909271,0.000004379258,0.0008960129,0.5298381,0.273125,0.00003174348,0.0002674613,0.02003619],"study_design_scores_gemma":[0.001594505,0.0004975144,0.8710245,0.00002056374,0.00007764593,0.00006365093,0.001877263,0.08948494,0.02692933,0.0001301106,0.007696565,0.000603346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138377,0.0001635047,0.1855897,0.0001693395,0.00006033672,0.0001309674,0.00002067397,0.000008520774,0.00001929663],"genre_scores_gemma":[0.9718518,0.00001845128,0.02748239,0.000381567,0.0001390647,0.000003392179,0.00007805704,0.000010182,0.00003510266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.695491,"threshold_uncertainty_score":0.4695232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09495107698252715,"score_gpt":0.2957828265801603,"score_spread":0.2008317495976331,"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."}}