{"id":"W4382010499","doi":"10.1002/jsfa.12811","title":"Effect of nanopesticides (azoxystrobin and bifenthrin) on the phenolic content and metabolic profiles of strawberries (<i>Fragaria</i> × <i>ananassa</i>)","year":2023,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Chemistry; Gallic acid; Bifenthrin; Pesticide; Fragaria; Pelargonidin; Quercetin; Food science; Horticulture; Nanocarriers; Kaempferol; Anthocyanin; Agronomy; Cyanidin; Antioxidant; Biology; Biochemistry; Drug delivery","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":[0.00007505257,0.0002646102,0.0002104502,0.0001705171,0.00009920806,0.0002007446,0.0001029991,0.0001802085,0.0007370144],"category_scores_gemma":[0.00008899933,0.0001005743,0.0001714896,0.00008819445,0.0001272675,0.0001313643,0.00009973288,0.0002921874,0.0001097664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261041,"about_ca_system_score_gemma":0.0001018442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398508,"about_ca_topic_score_gemma":0.001874661,"domain_scores_codex":[0.9999261,0.00001044518,0.000007141798,0.00002534379,0.00001703794,0.00001392668],"domain_scores_gemma":[0.999882,0.00002528418,0.00003804026,0.00000882786,0.00002198981,0.00002393422],"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":[0.00005763575,0.000009320595,0.00007839964,0.00001326767,0.000002690934,0.000007217099,0.00000485335,0.00001819382,0.9995466,0.000003996637,0.000003720646,0.0002540408],"study_design_scores_gemma":[0.000003339362,0.0003252556,0.00825123,0.000003075467,0.00001488647,0.00002920399,0.0000242517,0.000363923,0.9906871,0.000007470943,0.0002869686,0.000003406696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985402,0.0003345275,0.0005234413,0.00001873757,0.000006734648,0.00001171593,0.0002186037,0.00002279819,0.0003232303],"genre_scores_gemma":[0.996519,0.0002740331,0.001375557,0.00003011952,0.000002561175,0.00002193121,0.0002582807,0.00001002896,0.001508561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001398508,"threshold_uncertainty_score":0.002780735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009692385336123313,"score_gpt":0.1997607428970674,"score_spread":0.1900683575609441,"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."}}