{"id":"W2898549527","doi":"10.1002/9781119289470.ch4","title":"Preharvest and Postharvest Technologies Based on Hexanal","year":2018,"lang":"en","type":"other","venue":"","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hexanal; Ripening; Postharvest; Senescence; Chemistry; Membrane; Phospholipid; Catabolism; Lipid oxidation; Biochemistry; Food science; Cell biology; Biology; Horticulture; Antioxidant; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002200933,0.0004664035,0.0002569351,0.0005873652,0.0002690792,0.0006124653,0.0003068068,0.000370158,0.005770934],"category_scores_gemma":[0.0001832467,0.0001605568,0.0005271329,0.0004383716,0.0001779354,0.00067999,0.0005659445,0.0007012198,0.001659364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124087,"about_ca_system_score_gemma":0.0002489188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005061501,"about_ca_topic_score_gemma":0.001476975,"domain_scores_codex":[0.999762,0.00002224286,0.00001585729,0.00005371833,0.0001066926,0.00003950978],"domain_scores_gemma":[0.9998399,0.00001827834,0.00004395623,0.00002158961,0.00005465185,0.00002151253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002567286,0.0001102285,0.0004842705,0.000484473,0.00001736487,0.0001293682,0.00004117603,0.0001314043,0.9703971,0.000388465,0.0002761363,0.02728336],"study_design_scores_gemma":[0.000008085936,0.000737366,0.004833471,0.00003708264,0.00004278366,0.0002157411,0.00009326817,0.0003112128,0.9758942,0.0001466538,0.01766418,0.00001595611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8890222,0.04060562,0.0379238,0.000496436,0.0005658785,0.0004954418,0.002178122,0.0006187991,0.02809375],"genre_scores_gemma":[0.9304273,0.01498634,0.01711796,0.0004705641,0.00004970154,0.0001747187,0.001537685,0.0001287361,0.03510695],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005770934,"threshold_uncertainty_score":0.01930565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830522260176887,"score_gpt":0.2193742734013549,"score_spread":0.201069050799586,"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."}}