{"id":"W7164131881","doi":"10.5376/pgt.2025.16.0029","title":"Breeding Advances and Application Prospects of Flower Color Improvement in Gerbera jamesonii","year":2025,"lang":"","type":"article","venue":"Plant Gene and Trait","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ornamental plant; Gerbera jamesonii; Selection (genetic algorithm); Gerbera; Plant breeding; Molecular breeding; Cut flowers","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":[0.0004960244,0.0004591238,0.0004635922,0.0008315512,0.0004173062,0.0005114575,0.0003264314,0.0003121048,0.001274414],"category_scores_gemma":[0.0001576681,0.0001448067,0.0004609375,0.0005981195,0.0002119842,0.0005171911,0.0004574908,0.0005818451,0.0002532051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006199359,"about_ca_system_score_gemma":0.0004139123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489371,"about_ca_topic_score_gemma":0.002838994,"domain_scores_codex":[0.9998329,0.00002722191,0.00001263436,0.00006562805,0.00003778361,0.00002380802],"domain_scores_gemma":[0.9999295,0.00001977827,0.00001038075,0.000007931383,0.00001413897,0.00001814796],"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":[0.0001575271,0.00007823,0.004240174,0.0004886988,0.00004084788,0.0004249533,0.0004236176,0.000625151,0.8616363,0.003596151,0.0005406804,0.1277475],"study_design_scores_gemma":[0.0001370832,0.001015185,0.3382777,0.000302949,0.0009080445,0.003520585,0.00116376,0.007892665,0.3241372,0.005883761,0.3165685,0.0001926372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8364959,0.09112681,0.03997825,0.002882106,0.000267709,0.00016816,0.0008145027,0.0005992572,0.02766723],"genre_scores_gemma":[0.928089,0.02532887,0.03445463,0.0005980679,0.00006849122,0.00006579748,0.001066009,0.000106393,0.01022276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489371,"threshold_uncertainty_score":0.004497945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003077217012177906,"score_gpt":0.2231612376679605,"score_spread":0.2200840206557826,"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."}}