{"id":"W2775159460","doi":"10.1080/07352689.2017.1402850","title":"Recent Advances in the Regulation of Citric Acid Metabolism in Citrus Fruit","year":2017,"lang":"en","type":"article","venue":"Critical Reviews in Plant Sciences","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; National Natural Science Foundation of China","keywords":"Citric acid; Metabolism; Postharvest; Ripening; Catabolism; Biochemistry; Citrus fruit; Vacuole; Biology; Citrate synthase; Citric acid cycle; Metabolic pathway; Food science; Chemistry; Botany; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003883095,0.00009074683,0.0002943833,0.0000513405,0.0002419383,0.0001066164,0.0009927421,0.00005349632,0.0001313223],"category_scores_gemma":[0.003548624,0.00002609469,0.00004943956,0.0007510631,0.0005745423,0.0004237273,0.00008333561,0.0001806757,0.00001202653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001350727,"about_ca_system_score_gemma":0.00001686505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202921,"about_ca_topic_score_gemma":0.002095629,"domain_scores_codex":[0.9981569,0.0003662676,0.0004119503,0.0002742407,0.0004416817,0.0003489492],"domain_scores_gemma":[0.9989424,0.0007846245,0.00009139268,0.0001046745,0.00003080628,0.00004606206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001609889,0.0001547588,0.02833351,0.00005734885,4.560421e-7,0.00001103257,0.0001713255,0.000002813341,0.01865226,0.02094141,0.0001029909,0.931556],"study_design_scores_gemma":[0.00008023212,0.00006995246,0.913191,0.0002909805,0.000002556153,0.000006462943,0.0002959859,0.0001327321,0.0004790784,0.0113583,0.07399558,0.00009713312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514299,0.130172,0.000001379059,0.008859424,0.0002121918,0.0005323648,0.00001850363,0.000004906811,0.008769363],"genre_scores_gemma":[0.8889058,0.1108249,0.00007804017,0.0000940598,0.00005446478,0.00002902768,0.000003017985,2.346087e-7,0.00001048378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9314589,"threshold_uncertainty_score":0.424829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141166792381517,"score_gpt":0.3829620685535292,"score_spread":0.2417952761720122,"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."}}