{"id":"W2543952577","doi":"10.1002/ece3.2550","title":"The challenge of separating signatures of local adaptation from those of isolation by distance and colonization history: The case of two white pines","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Fonds Québécois de la Recherche sur la Nature et les Technologies; Parks Canada; Ministry of Forests, Lands and Natural Resource Operations; Washington State University; U.S. Department of Agriculture","keywords":"Local adaptation; Biology; Population; Adaptation (eye); Locus (genetics); Gene flow; Evolutionary biology; Isolation by distance; Ecology; Genetic variation; Genetics; Gene; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091229,0.00004233461,0.00007357109,0.00001150434,0.0000596113,7.813324e-7,0.00003217289,0.00008681802,0.000005602305],"category_scores_gemma":[0.00004333102,0.00002627942,0.00001469197,0.00002326155,0.0002475354,0.000005752399,0.00002190394,0.00002166605,3.907773e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009200779,"about_ca_system_score_gemma":0.00002097937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009062074,"about_ca_topic_score_gemma":0.001105264,"domain_scores_codex":[0.9996179,0.00008465349,0.0001391621,0.00008503841,0.00003183616,0.00004140731],"domain_scores_gemma":[0.9995317,0.00005389662,0.0002298338,0.00007579775,0.00009988036,0.000008870579],"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":[0.001033017,0.00009122871,0.1764582,0.000112145,0.0001834773,0.000001199847,0.003941318,0.006803798,0.7788522,0.01615286,0.002899579,0.01347091],"study_design_scores_gemma":[0.00417224,0.00190583,0.862258,0.0001203154,0.0002987169,0.00002696356,0.004538828,0.03247308,0.07589513,0.01377024,0.004178198,0.0003625014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552087,0.004490424,0.03990426,0.0001640572,0.00007472291,0.00007654393,0.00004856057,9.803438e-7,0.00003180364],"genre_scores_gemma":[0.9994515,0.0002897961,0.0001601796,0.000006288912,0.00001592289,0.000001575068,0.00002800357,0.000001806082,0.00004494836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7029571,"threshold_uncertainty_score":0.1071644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008894966601586873,"score_gpt":0.222588464239745,"score_spread":0.2136934976381581,"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."}}