{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116068,0.0002528295,0.000157031,0.0002409354,0.0001752157,0.0003738995,0.0001570625,0.0003515078,0.0006509626],"category_scores_gemma":[0.00005149611,0.0001233047,0.0002448605,0.0001440629,0.0002113692,0.0004431468,0.0002971551,0.0002803745,0.0001944351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403645,"about_ca_system_score_gemma":0.0003384533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005604575,"about_ca_topic_score_gemma":0.002236209,"domain_scores_codex":[0.9999417,0.00001234329,0.00000394961,0.000008997654,0.00001828402,0.00001482704],"domain_scores_gemma":[0.9999831,0.000003689037,0.000004381533,6.908214e-7,0.000005211493,0.00000290593],"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":[0.00005880186,0.00006588147,0.0007175879,0.004835409,0.00006252494,0.00119471,0.0003984712,0.001736294,0.898467,0.006225353,0.001581944,0.08465607],"study_design_scores_gemma":[0.00001960572,0.001666029,0.004496585,0.0007301013,0.0002001056,0.002691923,0.001248295,0.002643247,0.6855729,0.00238105,0.2982912,0.00005890397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6252216,0.294252,0.01477833,0.002865335,0.0002665474,0.0001219973,0.0001790259,0.0001552385,0.06216004],"genre_scores_gemma":[0.8298165,0.1521983,0.008209196,0.0004109129,0.00005095514,0.00004863198,0.00007545425,0.00001036845,0.009179701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006509626,"threshold_uncertainty_score":0.002177715,"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."}}