{"id":"W4403682720","doi":"10.3390/technologies12110210","title":"Exploring Silica Nanoparticles: A Sustainable Solution for Pest Control in Sri Lankan Rice Farming","year":2024,"lang":"en","type":"article","venue":"Technologies","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; The Scarborough Hospital; University of Toronto","funders":"","keywords":"PEST analysis; Agriculture; Pest control; Sri lanka; Agroforestry; Integrated pest management; Agricultural engineering; Agronomy; Business; Environmental science; Engineering; Ecology; Biology; Environmental planning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001111986,0.0001382769,0.0001419106,0.0001724317,0.00005576368,0.00005648125,0.0001605587,0.00008389497,0.000001173521],"category_scores_gemma":[0.00009574266,0.0001138093,0.00003770646,0.0004521615,0.00003219752,0.0004109278,0.0000424578,0.0001631299,0.00002008405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508397,"about_ca_system_score_gemma":0.00001150437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005571141,"about_ca_topic_score_gemma":0.00002442859,"domain_scores_codex":[0.9990654,0.000005172268,0.0001723485,0.0001853755,0.0000878986,0.0004837869],"domain_scores_gemma":[0.9997349,0.00008420011,0.00001275416,0.00013105,0.00002109572,0.00001594917],"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":[0.00001088243,0.00002019577,0.00006646232,0.0005042133,0.00003391805,0.0000347275,0.0003967443,0.001893941,0.9551001,0.005003028,0.0006497397,0.03628607],"study_design_scores_gemma":[0.0006647324,0.0001111788,0.0003643793,0.0002713172,0.00003071596,0.000006116142,0.008192841,0.09789862,0.8745624,0.0008405613,0.01664935,0.0004077669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804773,0.003904077,0.002747605,0.0007278594,0.000206643,0.0005282036,0.00001111396,0.01085282,0.0005443598],"genre_scores_gemma":[0.9984738,0.0001272229,0.0003881867,0.000008720725,0.00002489314,0.0009012006,0.000003868228,0.00001067789,0.00006141919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09600468,"threshold_uncertainty_score":0.4641007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316362711044534,"score_gpt":0.2288830825263288,"score_spread":0.1972468114218754,"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."}}