{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000125754,0.0001064694,0.000114246,0.00001257761,0.00007560723,0.00006096721,0.0000718813,0.0001072731,0.00005489156],"category_scores_gemma":[0.000002819057,0.00003987446,0.0000187741,0.0001066677,0.00005702014,0.00001516905,0.00004411085,0.000148543,0.000008067304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462228,"about_ca_system_score_gemma":0.00001184269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006911472,"about_ca_topic_score_gemma":0.0002404337,"domain_scores_codex":[0.9994084,0.000006979481,0.0001194079,0.000262417,0.00002468958,0.0001780737],"domain_scores_gemma":[0.9997863,0.0001256262,0.00002153884,0.00002086219,0.000006658704,0.00003902047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003022258,0.000006080637,0.002430363,0.000006987104,0.000008956669,0.000002308238,0.00004899407,0.000005459159,0.9301745,0.007181972,0.00005261258,0.06005155],"study_design_scores_gemma":[0.001407421,0.00126215,0.1574684,0.0002753027,0.00008940918,0.0007788889,0.01013592,0.004967701,0.2441522,0.04700471,0.5297182,0.002739688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946949,0.0005966644,0.00002245714,0.0003419786,0.00007156265,0.00006538513,0.0000499335,0.00003225243,0.004124858],"genre_scores_gemma":[0.9988551,0.0001159838,0.0002894383,0.0001556572,0.0003384108,0.00000851744,0.0001859242,0.000001049542,0.00004989532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6860223,"threshold_uncertainty_score":0.1626033,"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."}}