{"id":"W4414486129","doi":"10.1002/adsu.202500922","title":"Corn Zein Nanocarriers for Agrochemical Delivery and Smart Packaging","year":2025,"lang":"en","type":"article","venue":"Advanced Sustainable Systems","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Nanocarriers; Agrochemical; Sustainability; Agriculture; Applications of nanotechnology; Active packaging","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":[0.0002125399,0.0002743424,0.0002442104,0.0002504663,0.0001160091,0.0003839799,0.0002265903,0.0004559064,0.0009186394],"category_scores_gemma":[0.0002007611,0.000147961,0.0003492586,0.0001804771,0.0001532137,0.0004692629,0.0003552228,0.0005295367,0.0004022177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521594,"about_ca_system_score_gemma":0.0002689027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007373875,"about_ca_topic_score_gemma":0.0009027107,"domain_scores_codex":[0.999879,0.00001819935,0.0000087907,0.00002756044,0.00003891722,0.00002738406],"domain_scores_gemma":[0.9999515,0.00001083402,0.00001521263,0.000003558511,0.00001317048,0.000005782603],"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":[0.0001295689,0.00004840678,0.000179293,0.001711827,0.00005702234,0.0003234376,0.00007699128,0.001808612,0.9207308,0.007365845,0.002625153,0.0649431],"study_design_scores_gemma":[0.00005257817,0.0004416585,0.0008567392,0.0001922856,0.000101757,0.0005164882,0.00007852233,0.00530982,0.8224623,0.001210186,0.1687395,0.00003814353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.504682,0.3456729,0.1028915,0.003262784,0.001495521,0.0005197908,0.0007495963,0.0007344104,0.03999149],"genre_scores_gemma":[0.8574417,0.1044185,0.02425553,0.0008110498,0.0001114265,0.0002271987,0.0003419193,0.00005882744,0.01233381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009186394,"threshold_uncertainty_score":0.003784478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004174542876176504,"score_gpt":0.2338144643739374,"score_spread":0.2296399214977609,"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."}}