{"id":"W2971367436","doi":"10.3389/fpls.2019.01244","title":"Novel Informatic Tools to Support Functional Annotation of the Durum Wheat Genome","year":2019,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Government of South Australia; U.S. Department of State","keywords":"TILLING; Biology; Genome; Genetics; Exome; Computational biology; Reference genome; Exome sequencing; Population; Annotation; DNA sequencing; Mutation; Gene","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":[0.0002905049,0.00005757877,0.00009859884,0.00003255908,0.0001111022,0.00002847531,0.0002667016,0.00001972489,0.00003967376],"category_scores_gemma":[0.00005082602,0.00002029366,0.00002274849,0.000608698,0.00009927455,0.0002134029,0.00008118298,0.0000404776,0.00002926425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002760876,"about_ca_system_score_gemma":0.00003353127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001699905,"about_ca_topic_score_gemma":0.00003378872,"domain_scores_codex":[0.9991664,0.000007977606,0.0001758403,0.0001362913,0.0003381555,0.0001753109],"domain_scores_gemma":[0.9997634,0.00004390529,0.00006583139,0.00004208652,0.00004684719,0.00003790092],"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":[0.00003698567,0.00003190113,0.1725401,0.000009845008,0.000004720561,3.320316e-7,0.0008290858,0.001196604,0.8121813,0.0002333501,0.004062046,0.008873785],"study_design_scores_gemma":[0.00008753252,0.00007168586,0.9905009,0.00001323393,0.000001930166,0.000007276477,0.001149948,0.0004004652,0.00301128,0.00005382147,0.004633648,0.00006832628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961556,0.00001239394,0.0003472726,0.0003901323,0.0006964036,0.0002318815,0.0002056101,0.000006583362,0.001954142],"genre_scores_gemma":[0.9984354,0.000007349888,0.000738333,0.0003413512,0.00001721557,0.000007104982,0.00002924491,1.935572e-7,0.0004238249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8179608,"threshold_uncertainty_score":0.08545198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021480137212784,"score_gpt":0.198807229883081,"score_spread":0.177327092670297,"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."}}