{"id":"W3162937981","doi":"10.1002/cpz1.134","title":"Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well‐Represented Collections","year":2021,"lang":"en","type":"article","venue":"Current Protocols","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Genome Prairie; European Commission; Saskatchewan Pulse Growers; University of Saskatchewan; Genome Canada; Western Grains Research Foundation; U.S. Department of Agriculture","keywords":"Germplasm; Domestication; Biology; Genetic diversity; Context (archaeology); Selection (genetic algorithm); Genetic architecture; Evolutionary biology; Biotechnology; Genomics; Trait; Genetic variation; Quantitative trait locus; Genetics; Genome; Gene; Agronomy; Population; Computer science","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":[0.00006559626,0.00008138218,0.0001582385,0.0000100279,0.0002720525,0.000008035413,0.0001088337,0.00002952841,0.0001702449],"category_scores_gemma":[0.00002511124,0.00003524641,0.00008479685,0.0001307289,0.0002757951,0.00002022304,0.000279577,0.00003809051,0.000001173134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003631381,"about_ca_system_score_gemma":0.000008829569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003993219,"about_ca_topic_score_gemma":0.00001896518,"domain_scores_codex":[0.9992791,0.0000796465,0.0002220886,0.0001773196,0.0001382722,0.0001036098],"domain_scores_gemma":[0.9996164,0.00007665328,0.0001451112,0.00006180326,0.00006976989,0.00003026249],"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":[0.001190941,0.001447374,0.3930107,0.0006570572,0.0001966295,0.000001507089,0.002531449,0.0001022741,0.5288155,0.0002311617,0.006062219,0.06575316],"study_design_scores_gemma":[0.0005642125,0.0001583279,0.879302,0.00006159798,0.00004336152,0.000003283961,0.0003292134,0.0002312481,0.004939822,0.000217777,0.1140596,0.00008958332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852936,0.0007963085,0.0002086558,0.0001720787,0.00009134626,0.0132382,0.00007356324,0.000008140854,0.0001180816],"genre_scores_gemma":[0.9860239,0.0004761893,0.0001924414,0.00002535116,0.00008730475,0.012046,0.00004239371,0.000001629052,0.001104792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5238757,"threshold_uncertainty_score":0.2092436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04736919323034135,"score_gpt":0.2416109194905463,"score_spread":0.194241726260205,"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."}}