{"id":"W2883118599","doi":"10.1016/j.msec.2018.07.037","title":"Molecular insights to alkaline based bio-fabrication of silver nanoparticles for inverse cytotoxicity and enhanced antibacterial activity","year":2018,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Cytotoxicity; Silver nanoparticle; Chemistry; Antibacterial activity; Nanoparticle; Nuclear chemistry; Fourier transform infrared spectroscopy; Alkalinity; Catalysis; Reducing agent; Nanobiotechnology; Nanotechnology; Chemical engineering; Materials science; Biochemistry; Organic chemistry; Bacteria; Biology","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":[0.0005270988,0.0001071866,0.0001764288,0.0001017099,0.0001477855,0.0001187458,0.0001456769,0.00003278331,0.00002991413],"category_scores_gemma":[0.0002614998,0.00009452472,0.00001242875,0.0002919714,0.0002807109,0.000247116,0.00007168661,0.00001158675,0.00001053586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002175146,"about_ca_system_score_gemma":0.00004665406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002790107,"about_ca_topic_score_gemma":0.000003748039,"domain_scores_codex":[0.9990821,0.00001612165,0.0001884842,0.0003127828,0.0001699003,0.0002305515],"domain_scores_gemma":[0.9993755,0.00004378802,0.00006915156,0.00020421,0.0001916062,0.0001157438],"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":[0.00004261311,0.00003032512,0.000006794915,0.00003428278,0.000001166798,9.443148e-8,0.0001229531,0.00007613219,0.9991412,0.0003859634,0.000008390433,0.0001501557],"study_design_scores_gemma":[0.000190453,0.0001180924,0.002782333,0.0000298699,0.000009552918,4.714191e-7,0.000009668639,0.00230673,0.9942922,0.00005041492,0.00008915944,0.0001210359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922475,0.000004107726,0.007057787,0.0001022093,0.0001868136,0.0003222847,0.00003297266,0.00004101511,0.00000529247],"genre_scores_gemma":[0.9929344,0.000002109175,0.006862118,0.00005747727,0.00007119239,0.00006103919,0.000001005161,0.000008889191,0.000001750512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00484891,"threshold_uncertainty_score":0.3854606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162371517625425,"score_gpt":0.2375450127494637,"score_spread":0.2259212975732094,"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."}}