{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020949,0.000306758,0.0002813721,0.00006178381,0.0001012043,0.000158098,0.0003772684,0.0003610183,0.007403194],"category_scores_gemma":[0.00005929616,0.0001057968,0.00007439926,0.0002102369,0.0002545915,0.00004542302,0.0001600454,0.0001332003,0.0007450928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373643,"about_ca_system_score_gemma":0.000005416091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005281309,"about_ca_topic_score_gemma":0.01221098,"domain_scores_codex":[0.9986434,0.00007360731,0.0001774493,0.0005315951,0.0002761053,0.0002978698],"domain_scores_gemma":[0.9995277,0.0001112745,0.000122395,0.0001486111,0.00001628854,0.00007375442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001939347,0.0001428524,0.001299631,0.00005228097,0.00003240501,0.00001056781,0.000002902364,1.770149e-7,0.000132324,0.003851807,0.9716542,0.02280145],"study_design_scores_gemma":[0.0000970655,0.0004067435,0.01467592,0.000139272,0.00001613161,0.000001301816,0.00008236801,0.00002828722,0.00006049795,0.0001409431,0.9840201,0.0003314122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002934134,0.0001348559,0.000008746791,0.0056798,0.0001571668,0.0004444247,0.0001552271,0.001368515,0.9891171],"genre_scores_gemma":[0.01374807,0.0001238826,0.0003139832,0.001458536,0.0003387862,0.00003330993,0.0001818709,0.00001416176,0.9837874],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02247004,"threshold_uncertainty_score":0.9935042,"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."}}