{"id":"W4206903272","doi":"10.3390/plants11030289","title":"Identification of Novel Candidate Genes Involved in Apple Cuticle Integrity and Russeting-Associated Triterpene Synthesis Using Metabolomic, Proteomic, and Transcriptomic Data","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds National de la Recherche Luxembourg","keywords":"Cutin; Triterpene; Biology; Metabolomics; Suberin; Transcriptome; Wax; Biochemistry; Cuticle (hair); Gene; Cell wall; Gene expression; Genetics; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004555428,0.00008851296,0.0001989125,0.00001795784,0.0001643174,0.00002921744,0.0001723825,0.00003276039,0.00001780073],"category_scores_gemma":[0.0000367164,0.00004234668,0.00001328605,0.0001007001,0.00002910746,0.0001303825,0.0001550723,0.00008937825,3.282734e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002625186,"about_ca_system_score_gemma":0.000008777814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008697899,"about_ca_topic_score_gemma":0.002675424,"domain_scores_codex":[0.9991594,0.00009842976,0.0002287573,0.0002593966,0.0001086283,0.0001454078],"domain_scores_gemma":[0.9997056,0.00007459394,0.0001203133,0.00005822387,0.000009189164,0.00003203885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001514607,0.0001705963,0.0689575,0.000008994356,0.00002970395,0.000001709416,0.0001215869,0.000008210099,0.9264777,0.000001411968,0.000005127376,0.00406604],"study_design_scores_gemma":[0.001473242,0.00009817148,0.5966299,0.00007106517,0.0001226295,0.00002708498,0.001704111,0.06236438,0.3369187,0.00005987534,0.000184566,0.0003462572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931695,0.0007425849,0.000001876401,0.0001519963,0.00003134757,0.0002744012,0.00561578,0.00001116197,0.000001338126],"genre_scores_gemma":[0.999127,0.000346181,0.0000906121,0.00001272802,0.000004732322,0.00002197802,0.0003892558,0.000001008012,0.000006460082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5895589,"threshold_uncertainty_score":0.9979033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07973521836806371,"score_gpt":0.2502613141747807,"score_spread":0.170526095806717,"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."}}