{"id":"W4220961395","doi":"10.18280/rcma.320104","title":"Green Synthesis of Silver Nanoparticles: An Application of Antibiotics","year":2022,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Streptococcus mitis; Antibiotics; Enterobacter aerogenes; Penicillin; Silver nanoparticle; Microbiology; Tetracycline; Antimicrobial; Antibacterial activity; Chemistry; Erythromycin; Streptococcus; Streptomycin; Bacteria; Escherichia coli; Biology; Materials science; Nanoparticle; Nanotechnology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001420587,0.0004297079,0.0002696256,0.0003437094,0.0002002566,0.000321507,0.0002163457,0.0008240616,0.0005375263],"category_scores_gemma":[0.000117663,0.0002081703,0.0003978737,0.0001863675,0.000249509,0.0002979431,0.0003988284,0.0004324047,0.0002586261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155443,"about_ca_system_score_gemma":0.0002056498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003372965,"about_ca_topic_score_gemma":0.0007057341,"domain_scores_codex":[0.9998228,0.0000306288,0.000008959527,0.00003990857,0.00006068697,0.00003711125],"domain_scores_gemma":[0.9999535,0.000009749936,0.00001013375,0.00000615818,0.00001123842,0.00000926713],"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":[0.00006080917,0.0000496692,0.00008299255,0.0002641848,0.000007372086,0.0001828524,0.0000442963,0.0002216687,0.9839167,0.0007455143,0.0003287438,0.01409526],"study_design_scores_gemma":[0.00001514323,0.000401702,0.0004817927,0.00002426926,0.00001758148,0.0004067829,0.0000366435,0.001455536,0.982614,0.0003330414,0.01420154,0.0000119717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051698,0.07615811,0.07670302,0.003034375,0.001067096,0.0002712818,0.0002240746,0.000613587,0.03675869],"genre_scores_gemma":[0.9387765,0.01632623,0.03377225,0.0006241131,0.00007330599,0.00009640275,0.00007351777,0.00004730956,0.01021036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008240616,"threshold_uncertainty_score":0.002289474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992328982479783,"score_gpt":0.3328912644358193,"score_spread":0.2729679746110215,"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."}}