{"id":"W2967566622","doi":"10.3389/fpls.2019.01098","title":"Identification of Candidate Adaxial–Abaxial-Related Genes Regulating Petal Expansion During Flower Opening in Rosa chinensis “Old Blush”","year":2019,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; China Postdoctoral Science Foundation; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Fundamental Research Funds for the Central Universities; Institute of Genetics; National Natural Science Foundation of China","keywords":"Petal; Biology; Auxin; Gene; Arabidopsis; Transcriptome; Botany; Morphogenesis; Regulator; Cell biology; Genetics; Gene expression; Mutant","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":[0.00006320032,0.0002788768,0.000283136,0.0005334757,0.0003709787,0.0002109808,0.0001771872,0.0001623209,0.0009526854],"category_scores_gemma":[0.00009512329,0.0001376006,0.0005677571,0.0006034393,0.0001756625,0.0001798405,0.000243604,0.0002188271,0.0002288119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061544,"about_ca_system_score_gemma":0.000295639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00428556,"about_ca_topic_score_gemma":0.007156671,"domain_scores_codex":[0.9999423,0.000003687951,0.000003486285,0.00002527386,0.00001116131,0.00001405678],"domain_scores_gemma":[0.9999198,0.00001111394,0.00002312326,0.000007060555,0.00001844447,0.00002050304],"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":[0.0001733897,0.00002092849,0.01819739,0.000193677,0.00003795946,0.0003525459,0.0002009621,0.0003003229,0.9744936,0.0001614181,0.0001525623,0.005715272],"study_design_scores_gemma":[0.0000195533,0.0001342293,0.9052321,0.00002161079,0.0001623796,0.0006335462,0.000309705,0.005142272,0.08362067,0.000207032,0.004483728,0.00003328435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945016,0.0006933112,0.00144756,0.00003309699,0.000006026329,0.00002222911,0.002441456,0.00006880082,0.0007858815],"genre_scores_gemma":[0.9895611,0.0003722584,0.00197544,0.00005669373,0.000008330408,0.00004522545,0.005962105,0.00002958979,0.00198929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00428556,"threshold_uncertainty_score":0.008521259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006512004958612065,"score_gpt":0.2125879796423005,"score_spread":0.2060759746836884,"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."}}