{"id":"W2953242960","doi":"10.1186/s12870-019-1861-4","title":"Genome-wide identification of GRF transcription factors in soybean and expression analysis of GmGRF family under shade stress","year":2019,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Genetics; National Natural Science Foundation of China","keywords":"Biology; Identification (biology); Transcription factor; Genetics; Genome; Computational biology; Gene; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001477084,0.0002588372,0.0002953339,0.0006214227,0.0002114107,0.0001476349,0.0001176352,0.0001878196,0.0004769453],"category_scores_gemma":[0.00009557928,0.0001081397,0.0004124712,0.0005444032,0.0001038128,0.0001049647,0.0001712816,0.000189556,0.0001882991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330598,"about_ca_system_score_gemma":0.0001970052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116809,"about_ca_topic_score_gemma":0.003125264,"domain_scores_codex":[0.9999163,0.000003776672,0.000006082229,0.00004141888,0.00001878565,0.00001351052],"domain_scores_gemma":[0.9999334,0.000007435958,0.00002272514,0.000004342231,0.00001086149,0.00002129675],"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":[0.0002960871,0.00001640532,0.02477534,0.000172011,0.00003906135,0.000138856,0.0001007929,0.0001211098,0.9684417,0.00004807204,0.0001700229,0.00568057],"study_design_scores_gemma":[0.00004444482,0.0002259142,0.9391121,0.00002676887,0.0001756436,0.001126114,0.0001955296,0.001612998,0.05118667,0.0001260021,0.006146381,0.00002138587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916786,0.00236848,0.001326649,0.00004238863,0.000007252836,0.00001705167,0.003997705,0.000050231,0.0005115871],"genre_scores_gemma":[0.9793312,0.001099993,0.004465979,0.00007483356,0.000007882413,0.00003458993,0.01400942,0.00002169642,0.0009543699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116809,"threshold_uncertainty_score":0.004208982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565180197521716,"score_gpt":0.2511553397670266,"score_spread":0.2155035377918095,"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."}}