{"id":"W4404868892","doi":"10.5376/gab.2024.15.0016","title":"Integrating Functional Genomics with Breeding in Eucommia ulmoides","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guizhou Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Eucommia ulmoides; Functional genomics; Genomics; Biology; Computational biology; Genome; Genetics; Medicine; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000334848,0.0003858325,0.000262903,0.0004159168,0.0002474395,0.0002098701,0.0003298812,0.0002250431,0.0003242466],"category_scores_gemma":[0.000190739,0.0001664944,0.0003261912,0.0003770979,0.0001751976,0.0003061161,0.0006863467,0.0004179793,0.0001488987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983938,"about_ca_system_score_gemma":0.0005151225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002235141,"about_ca_topic_score_gemma":0.003038761,"domain_scores_codex":[0.9998362,0.00004434774,0.00001472998,0.00004577242,0.00002607343,0.00003272125],"domain_scores_gemma":[0.9998871,0.00003121055,0.00002505199,0.00002060996,0.00001375173,0.00002227259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007539496,0.00003041715,0.001531349,0.00006639998,0.00001111345,0.00009525783,0.0000689876,0.0007409569,0.983244,0.000530503,0.00002667512,0.01357893],"study_design_scores_gemma":[0.00008242705,0.0005363651,0.1532761,0.00008257953,0.0001713926,0.001408816,0.0004514143,0.02229252,0.7990972,0.002506541,0.02004561,0.00004911703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271706,0.001203512,0.06722276,0.0002714916,0.00002004355,0.0001135811,0.0005114496,0.0004470526,0.003039513],"genre_scores_gemma":[0.8815271,0.0007808198,0.1146731,0.0001824246,0.000008779004,0.0001225542,0.001241274,0.00006096238,0.001402936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002235141,"threshold_uncertainty_score":0.004444182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473082235023226,"score_gpt":0.1843238526337313,"score_spread":0.169593030283499,"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."}}