{"id":"W4360593304","doi":"10.1039/d3gc00328k","title":"Cellulose nanocrystals for crop protection: leaf adhesion and controlled delivery of bioactive molecules","year":2023,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; Canada Foundation for Innovation; National Natural Science Foundation of China; Canada Excellence Research Chairs, Government of Canada","keywords":"Nanocarriers; Cellulose; Nanotechnology; Crop protection; Nanocellulose; Drug delivery; Adhesion; Nanocrystal; Chemistry; Materials science; Organic chemistry; Agronomy; Biology","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":[0.0001297367,0.0003337436,0.0001885122,0.0001525234,0.0001502404,0.0002612105,0.0001970676,0.0003361632,0.0008933176],"category_scores_gemma":[0.0001276306,0.0001176635,0.0001756258,0.0001355789,0.0001189346,0.0002110941,0.0001711387,0.0003030621,0.0002907421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511683,"about_ca_system_score_gemma":0.0003653057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450195,"about_ca_topic_score_gemma":0.004411941,"domain_scores_codex":[0.9999089,0.000006784785,0.000005883059,0.00003251719,0.00002373096,0.00002220849],"domain_scores_gemma":[0.9999222,0.00001036288,0.00002735632,0.000007097906,0.00001551699,0.00001761144],"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":[0.00001602828,0.000006193613,0.0000343788,0.00002534876,0.000002443433,0.00001972024,0.000005537029,0.00004890338,0.998422,0.00009925329,0.00004034066,0.00127977],"study_design_scores_gemma":[0.000003188343,0.00002772069,0.0002782599,0.00000215152,0.000004191777,0.00003378181,0.000004229354,0.001038492,0.9975126,0.000008944897,0.001084073,0.000002421646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629444,0.003425059,0.02465762,0.0002555802,0.00007732208,0.00007999679,0.0002678427,0.0002589117,0.008033123],"genre_scores_gemma":[0.978116,0.001531647,0.0122254,0.0001163304,0.00001636564,0.00005602996,0.0001624408,0.00004397825,0.007731743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002450195,"threshold_uncertainty_score":0.004871786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217440608990782,"score_gpt":0.2046060191293466,"score_spread":0.1924316130394388,"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."}}