{"id":"W2900605551","doi":"10.3390/chemengineering2040056","title":"Effect of Postharvest LED Application on Phenolic and Antioxidant Components of Blueberry Leaves","year":2018,"lang":"en","type":"article","venue":"ChemEngineering","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anthocyanin; DPPH; Chemistry; Antioxidant; Food science; Postharvest; Flavonoid; Cultivar; Ferric; Botany; Phenols; Extraction (chemistry); Chromatography; Biology; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001215525,0.0004140184,0.0004143189,0.0001693437,0.0002017236,0.0003378337,0.000187203,0.0003170802,0.002261875],"category_scores_gemma":[0.0001511579,0.0002084885,0.0003191005,0.0001742586,0.0001520011,0.0002378175,0.0001554827,0.0006696775,0.0002782879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885262,"about_ca_system_score_gemma":0.0001545826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007113693,"about_ca_topic_score_gemma":0.001505792,"domain_scores_codex":[0.9999,0.00001836688,0.000007808507,0.00002699738,0.00001665893,0.00003004068],"domain_scores_gemma":[0.99983,0.00004834395,0.00002328285,0.00001601732,0.00004060736,0.00004175601],"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":[0.0009588299,0.0001367252,0.000316988,0.0001178644,0.00001267934,0.00005589923,0.00004789022,0.000025005,0.9959616,0.00001714733,0.00003332335,0.002316052],"study_design_scores_gemma":[0.00005566348,0.003237236,0.04194106,0.00001979542,0.00007178776,0.0001216143,0.0001547967,0.0003455407,0.951812,0.00003470615,0.002188468,0.00001720059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978102,0.001059041,0.0002673086,0.0000448158,0.00003369184,0.00001758815,0.0001232025,0.0000231081,0.0006211037],"genre_scores_gemma":[0.9936315,0.0007634914,0.0009246298,0.0001165689,0.00002902996,0.00005995447,0.0003264713,0.00001717908,0.00413115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002261875,"threshold_uncertainty_score":0.00756675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006441181992665098,"score_gpt":0.2498685713567895,"score_spread":0.2434273893641244,"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."}}