{"id":"W4281262067","doi":"10.1093/gbe/evac075","title":"Local Adaptation and the Evolution of Genome Architecture in Threespine Stickleback","year":2022,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biology; Synteny; Genome; Evolutionary biology; Adaptation (eye); Stickleback; Genetic architecture; Local adaptation; Genetics; Genome evolution; Lineage (genetic); Gene; Quantitative trait locus; Population","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":[0.0002621298,0.00007749513,0.0001094284,0.00005309017,0.0001668364,0.000002905112,0.00007804971,0.00009037209,0.00002257897],"category_scores_gemma":[0.00001974635,0.00006384387,0.0000269908,0.0001010936,0.0003092779,0.000002375572,0.0001576133,0.0001057684,5.727283e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003641756,"about_ca_system_score_gemma":0.00003995288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002151846,"about_ca_topic_score_gemma":0.0001916406,"domain_scores_codex":[0.9993117,0.0001832446,0.0001413603,0.000195477,0.00005238997,0.0001158671],"domain_scores_gemma":[0.9997533,0.00001166588,0.00007603734,0.0001106226,0.00002604079,0.00002231867],"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":[0.004657126,0.0001194893,0.215106,0.0001054043,0.0002066832,0.000002403535,0.003827334,0.3118783,0.3875675,0.06556803,0.00006410912,0.01089764],"study_design_scores_gemma":[0.002217507,0.00044743,0.9738758,0.00000232029,0.00003241948,0.000043699,0.002043367,0.00196801,0.00007229792,0.01461733,0.004527429,0.0001523959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264477,0.006136508,0.06676993,0.0002301543,0.00007821647,0.0001796754,0.00005767597,0.000003252363,0.00009685615],"genre_scores_gemma":[0.999291,0.00009806816,0.000247284,0.00005523985,0.00004245298,0.00001111673,0.0001880484,0.000003478416,0.00006328664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7587698,"threshold_uncertainty_score":0.2603478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632318538655056,"score_gpt":0.2053368441703283,"score_spread":0.1977045256316733,"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."}}