{"id":"W4283395540","doi":"10.3389/fpls.2022.906879","title":"Identification of Candidate Genes Responsible for Flower Colour Intensity in Gentiana triflora","year":2022,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Ministry of Agriculture, Forestry and Fisheries","keywords":"Gentiana; Biology; Gene; Transcriptome; Botany; Candidate gene; Flavonoid biosynthesis; Genetics; Gene expression","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":[0.00009877694,0.000322757,0.0002817766,0.0005275086,0.0001798101,0.0002203247,0.0001542298,0.000237752,0.0004607736],"category_scores_gemma":[0.0001223984,0.0001282676,0.0003472875,0.0003012906,0.0001583868,0.0001296396,0.0002123033,0.0002992478,0.0001003013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113232,"about_ca_system_score_gemma":0.0001963852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111164,"about_ca_topic_score_gemma":0.003356339,"domain_scores_codex":[0.9999305,0.000007144431,0.000004794898,0.00002715394,0.00001252355,0.00001788377],"domain_scores_gemma":[0.9999036,0.00001871517,0.00003413638,0.000003834458,0.00001551216,0.00002432719],"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":[0.00004432264,0.000005427181,0.002705647,0.00002831805,0.0000056894,0.00005998289,0.00003792657,0.0000382057,0.9957723,0.0000331183,0.0000187333,0.001250437],"study_design_scores_gemma":[0.00003427679,0.0002297342,0.744198,0.00001457613,0.0001517376,0.001291593,0.0002755911,0.003525499,0.2469552,0.0001825605,0.003096838,0.00004440504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997349,0.0004119551,0.001347921,0.00005653619,0.000003923869,0.000009689613,0.0004926659,0.00003840343,0.0002898217],"genre_scores_gemma":[0.9924793,0.0003001733,0.003403802,0.00009844701,0.000005433705,0.00002329985,0.002389693,0.00002088816,0.001278881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002111164,"threshold_uncertainty_score":0.004197717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008102511076501843,"score_gpt":0.2452941804436388,"score_spread":0.2371916693671369,"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."}}