{"id":"W4297900054","doi":"10.1039/d2en00329e","title":"Field evaluation of the potential effects of polymer and silica-based nanopesticides on strawberries and agricultural soils","year":2022,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Bioaccumulation; Soil water; Agriculture; Field (mathematics); Environmental science; Environmental chemistry; Chemistry; Soil science; Agricultural engineering; Mathematics; Biology; Ecology; Engineering","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":[0.0004687657,0.00005867656,0.00007211231,0.00002245454,0.0003901625,0.00001885362,0.000172564,0.00001129679,0.0001792356],"category_scores_gemma":[0.00004979312,0.00003729266,0.00001986137,0.0001244207,0.0006200223,0.00008278674,0.0001411921,0.00002935051,0.0000014468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003637176,"about_ca_system_score_gemma":0.00002979954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003040391,"about_ca_topic_score_gemma":0.000001656414,"domain_scores_codex":[0.99887,0.00008822619,0.0001194157,0.0001870935,0.0006227017,0.0001125921],"domain_scores_gemma":[0.9996213,0.0001069741,0.00009250634,0.0001395544,0.000005558561,0.00003410705],"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":[0.000007327456,0.00007589728,0.0008702238,0.00000358805,7.286172e-7,5.877271e-8,0.00009357355,0.0004451166,0.9959906,0.0001821705,0.000005865629,0.002324824],"study_design_scores_gemma":[0.0001473672,0.0001370762,0.1319638,0.000006847407,0.00001887421,0.000001664169,0.0002132267,0.000436558,0.8669493,0.00007822624,0.000004905422,0.0000422163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992071,0.0001799481,0.000006041903,0.0002379315,0.00006020196,0.0002383161,0.00001507623,0.000003524007,0.00005187818],"genre_scores_gemma":[0.9998296,0.000003467165,0.00004534535,0.00005414809,0.000005561472,0.00004488244,4.999773e-7,0.000002024908,0.00001445637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310935,"threshold_uncertainty_score":0.3000854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005537744440711979,"score_gpt":0.212482580261202,"score_spread":0.2069448358204901,"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."}}