{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004957198,0.0001312952,0.0002045637,0.00002137122,0.00003648835,0.000009206978,0.00006534744,0.00008593703,0.00002403213],"category_scores_gemma":[0.00001735188,0.0001079832,0.00006640322,0.000134764,0.000031583,0.00005480241,0.00002628727,0.00006028256,0.000005326843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003574749,"about_ca_system_score_gemma":0.00001045909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003386314,"about_ca_topic_score_gemma":0.000001658041,"domain_scores_codex":[0.9993953,0.000005813147,0.0001750115,0.0001506039,0.0001023185,0.0001709431],"domain_scores_gemma":[0.9997193,0.00003888585,0.00005316079,0.00009159578,0.0000481619,0.00004896316],"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":[0.0001036147,0.00001007084,0.000008429954,0.0003795072,0.00006656475,0.000002324029,0.00003675646,0.0001437745,0.9963511,8.960932e-7,0.0003084996,0.002588452],"study_design_scores_gemma":[0.001657225,0.00002820206,0.00008893286,0.00006167487,0.00002583811,0.000002196476,0.00006175251,0.006221408,0.9914766,0.00002439208,0.0002221805,0.0001296265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980052,0.000377804,0.0003682204,0.00004368242,0.00004975385,0.0004108369,0.000067727,0.000170642,0.0005061916],"genre_scores_gemma":[0.9979907,0.000040067,0.00009692201,0.00000500169,0.00006446916,0.0001797158,0.00003976188,0.00001579364,0.001567606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006077634,"threshold_uncertainty_score":0.4403426,"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."}}