{"id":"W3098408955","doi":"10.1101/2020.11.13.382440","title":"Degradation of <i>boscalid, pyraclostrobin, fenbuconazole</i> , and <i>glyphosate</i> residues by an advanced oxidative process utilizing ultraviolet light and hydrogen peroxide","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hydrogen peroxide; Degradation (telecommunications); Pesticide degradation; Chlorpyrifos; Chemistry; Glyphosate; Pesticide; Ultraviolet; Nuclear chemistry; Environmental chemistry; Organic chemistry; Materials science; Agronomy; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299189,0.0004322129,0.0001787041,0.0001295399,0.0001226091,0.000247938,0.0001362631,0.0002922612,0.0005849509],"category_scores_gemma":[0.0001014922,0.0001242014,0.0002452914,0.000119802,0.0001382563,0.0001269326,0.0000957927,0.0002249775,0.00011817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790997,"about_ca_system_score_gemma":0.0001916634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002768794,"about_ca_topic_score_gemma":0.003907937,"domain_scores_codex":[0.9998735,0.00001969562,0.00001081619,0.00003035195,0.00003550372,0.00003003461],"domain_scores_gemma":[0.999943,0.000006492597,0.00002414053,0.000004371955,0.00001199917,0.000009915005],"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":[0.00003325335,0.000006187901,0.0001419911,0.00001430482,0.000002017998,0.00001175801,0.00000403184,0.00002069789,0.9994992,0.000003961575,0.000007977258,0.0002547143],"study_design_scores_gemma":[0.000004416447,0.0002988252,0.005898419,0.000003843155,0.00001043815,0.00007169125,0.00002253612,0.000318167,0.9930723,0.000007369929,0.0002890563,0.00000293294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977354,0.0004805519,0.001063799,0.00003277973,0.000007630698,0.00001395131,0.0001146901,0.00001828701,0.0005329281],"genre_scores_gemma":[0.9964594,0.0004698914,0.001954482,0.00002953477,0.000003402365,0.0000114179,0.0001712857,0.000006286505,0.0008942883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002768794,"threshold_uncertainty_score":0.005505383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283265600865327,"score_gpt":0.2178682671719274,"score_spread":0.2050356111632742,"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."}}