{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544144,0.0001527772,0.0002475977,0.0002625003,0.0002777575,0.00003845565,0.0004353978,0.0001070409,0.00009332713],"category_scores_gemma":[0.0001400312,0.0001035224,0.00002065323,0.00123887,0.0008128011,0.0003299424,0.000645877,0.0003628268,7.39501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138596,"about_ca_system_score_gemma":0.00005556913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003388779,"about_ca_topic_score_gemma":0.000005503046,"domain_scores_codex":[0.998322,0.0000353296,0.0003676857,0.0004757231,0.0003774965,0.0004217774],"domain_scores_gemma":[0.9994912,0.00003168555,0.0001011807,0.000126884,0.0001483836,0.0001006876],"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":[0.00001569132,0.00006178782,0.0006447277,0.00002755285,0.000004147682,0.000006990533,0.0001446609,0.0009211039,0.9843438,0.00358033,0.000003091818,0.01024618],"study_design_scores_gemma":[0.0007689038,0.0001115746,0.008526867,0.00006345144,0.00003179745,0.0001968638,0.002555003,0.01683433,0.961993,0.008526061,0.0000542593,0.0003378226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976891,0.0001407873,0.0002603209,0.001332469,0.00003048001,0.0001552258,0.00001114605,0.00006640827,0.0003141102],"genre_scores_gemma":[0.9971551,0.000006343353,0.002660963,0.00003107003,0.00000822961,0.00004419317,0.000009973167,0.000005408112,0.00007868628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235068,"threshold_uncertainty_score":0.4221523,"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."}}