{"id":"W4214519115","doi":"10.20944/preprints202202.0315.v1","title":"An Overview on Green Synthesis of Nanomaterials and Their Advanced Applications in Sustainable Agriculture","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Agriculture; Hazardous waste; Environmental pollution; Nanotechnology; Sustainable agriculture; Sustainable production; Environmental science; Biotechnology; Business; Production (economics); Materials science; Environmental protection; Waste management; Engineering; Biology; Ecology","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":[0.0004643817,0.0009811143,0.0007683061,0.001973547,0.0004199832,0.0009484618,0.0005237128,0.001242339,0.004405671],"category_scores_gemma":[0.0003193184,0.0005938921,0.0007973732,0.002309151,0.0003214865,0.00159411,0.0007882914,0.001402104,0.003924935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943204,"about_ca_system_score_gemma":0.0005742038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005139246,"about_ca_topic_score_gemma":0.0007462298,"domain_scores_codex":[0.9996245,0.00005256338,0.00003475932,0.00008884197,0.0001518193,0.00004750047],"domain_scores_gemma":[0.9998378,0.00006038542,0.00001687248,0.00001517271,0.00005739964,0.00001228871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000123266,0.0002559135,0.0003494617,0.02247014,0.0001170671,0.0005236571,0.000240519,0.002851772,0.0955027,0.03577392,0.05109919,0.7906924],"study_design_scores_gemma":[0.000004251785,0.0001112681,0.0002800931,0.0006678439,0.00002751377,0.0005817135,0.00002908806,0.0003789584,0.01992972,0.004296709,0.9736692,0.00002360399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002411036,0.9603311,0.0119101,0.0006659715,0.001029457,0.00006006733,0.0001838405,0.0001566741,0.02325164],"genre_scores_gemma":[0.01100842,0.9620513,0.01135869,0.0008162614,0.0007075117,0.0001064622,0.000347158,0.00009256128,0.01351175],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004405671,"threshold_uncertainty_score":0.01473844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0654471076843417,"score_gpt":0.3314445462517161,"score_spread":0.2659974385673744,"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."}}