{"id":"W4296686467","doi":"10.1021/acsagscitech.2c00119","title":"Thermal Degradation of Conventional and Nanoencapsulated Azoxystrobin due to Processing in Water, Spiked Strawberry, and Incurred Strawberry Models","year":2022,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":6,"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":"Azoxystrobin; Degradation (telecommunications); Horticulture; Computer science; Biology; Fungicide","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":[0.0001883801,0.0003959545,0.0002678097,0.0001673111,0.0001325483,0.0002053471,0.0001457946,0.0002586796,0.0007932735],"category_scores_gemma":[0.0003042342,0.000158886,0.0002536768,0.0001652516,0.0001833697,0.0002473213,0.0001464577,0.0002952182,0.0001846939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002735685,"about_ca_system_score_gemma":0.000172392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180078,"about_ca_topic_score_gemma":0.003134457,"domain_scores_codex":[0.9998054,0.00001777771,0.00001611979,0.00006652134,0.00006766865,0.00002651275],"domain_scores_gemma":[0.999869,0.00003150376,0.00003907332,0.00001036753,0.00003908704,0.00001087302],"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":[0.00007592199,0.000007733938,0.0002389585,0.0000524672,0.000006032148,0.00003161497,0.00003251685,0.000164819,0.998273,0.00001767887,0.0000164694,0.00108273],"study_design_scores_gemma":[0.000002350505,0.0001918721,0.002472453,0.000005858158,0.00001496766,0.0000383356,0.00003506946,0.0008636739,0.9958951,0.0000106967,0.0004640706,0.000005569019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965283,0.0006161692,0.001817003,0.00001389987,0.00001309886,0.00002834493,0.0003260238,0.0000264171,0.0006306555],"genre_scores_gemma":[0.9923862,0.001032402,0.003420507,0.00003278114,0.000005292354,0.00008728368,0.0003929948,0.00002399422,0.0026185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00180078,"threshold_uncertainty_score":0.00358057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706921011307235,"score_gpt":0.3081767639272262,"score_spread":0.2811075538141539,"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."}}