{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005298684,0.0002640059,0.0004228885,0.0001969683,0.0004635891,0.0002264009,0.0002744483,0.0001125451,0.000005229182],"category_scores_gemma":[0.0002533563,0.0002653793,0.00007688283,0.0003566528,0.0001266077,0.0005009478,0.0001968597,0.0001144229,0.000008975386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884625,"about_ca_system_score_gemma":0.0001417722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000183547,"about_ca_topic_score_gemma":0.000005448601,"domain_scores_codex":[0.9978523,0.00007283872,0.0004184465,0.0005973933,0.0001897836,0.0008692715],"domain_scores_gemma":[0.9986265,0.0003579226,0.0001385303,0.0004012663,0.0003336548,0.0001421691],"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":[0.0001666039,0.00002001589,0.0005741275,0.001354605,0.00002671848,0.00002754065,0.0002942071,0.0002913478,0.9832905,0.01248766,0.0008106789,0.000656002],"study_design_scores_gemma":[0.002227757,0.0001466478,0.00008676698,0.0004351136,0.00007860882,0.00003631794,0.01533854,0.001997304,0.892589,0.002534858,0.08394126,0.0005878764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631875,0.003401786,0.0270197,0.0002046807,0.001182111,0.001941863,0.00003020512,0.0003024276,0.002729686],"genre_scores_gemma":[0.9903284,0.00001224006,0.001492738,0.0001555033,0.00005838227,0.0003362704,0.00001711325,0.00003535245,0.007563948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09070154,"threshold_uncertainty_score":0.9999799,"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."}}