{"id":"W1675969265","doi":"10.1111/j.1752-4571.2012.00242.x","title":"Scanning SNPs from a large set of expressed genes to assess the impact of artificial selection on the undomesticated genetic diversity of white spruce","year":2012,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service; Centre for Interdisciplinary Research in Rehabilitation","funders":"Canadian Forest Service; U.S. Forest Service; Genome Canada; Université Laval","keywords":"Biology; Selection (genetic algorithm); White (mutation); Evolutionary biology; Diversity (politics); Single-nucleotide polymorphism; Set (abstract data type); Selective breeding; Genetic diversity; Genetics; Gene; Ecology; Demography; Population; Artificial intelligence; Genotype","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000137835,0.00009544114,0.0001070936,0.00002967413,0.0002733287,0.000002386519,0.0002675903,0.00006748367,0.00005367225],"category_scores_gemma":[0.0000422389,0.00006647374,0.00008528997,0.0002162255,0.0001117133,0.000003846569,0.0002053217,0.00005927546,0.000004448103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001635741,"about_ca_system_score_gemma":0.00008112004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315794,"about_ca_topic_score_gemma":0.000006055478,"domain_scores_codex":[0.999256,0.0001005264,0.0002028125,0.0001544632,0.0001339402,0.000152316],"domain_scores_gemma":[0.9992177,0.00009171959,0.0001493483,0.000353132,0.0001371848,0.00005088118],"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":[0.0001900495,0.0004457179,0.2182678,0.00001269419,0.0002200024,1.388287e-8,0.0007505801,0.0414192,0.7264377,0.00949411,0.002007573,0.0007545409],"study_design_scores_gemma":[0.0001206954,0.0001569489,0.95781,0.000007826317,0.00005339848,0.000001140475,0.0001440728,0.0003045636,0.03884821,0.001859611,0.0006140983,0.00007947411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043,0.0003536681,0.09421352,0.00009910863,0.00002865963,0.0004011508,0.0004466917,0.000005080876,0.0001520711],"genre_scores_gemma":[0.9934332,0.000009983869,0.00615976,0.00002027015,0.0001784187,0.0000589277,0.00009839629,0.000007952396,0.00003310756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7395421,"threshold_uncertainty_score":0.271072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100281038938222,"score_gpt":0.2873614119027099,"score_spread":0.2563586015133276,"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."}}