{"id":"W4410312074","doi":"10.47852/bonviewjopr52025045","title":"Sustainable Nanoparticle Synthesis Using &lt;i&gt;Tinospora cordifolia&lt;/i&gt; (Giloy) Leaves Extracts: Evaluation of Antimicrobial Efficacy Against MultiDrug Resistant Bacteria and Optical Features","year":2025,"lang":"en","type":"article","venue":"Journal of Optics and Photonics Research","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Tinospora cordifolia; Antimicrobial; Multiple drug resistance; Traditional medicine; Chemistry; Bacteria; Microbiology; Antibiotics; Biology; Medicine; Biochemistry; Organic chemistry","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":[0.00006185565,0.0003431117,0.0001557395,0.0002222824,0.000091633,0.0001627224,0.0001193399,0.0001478165,0.000408349],"category_scores_gemma":[0.00005375724,0.00008372598,0.0002153318,0.0001387937,0.00007687029,0.0001191125,0.0001040478,0.0001693344,0.00009981594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404232,"about_ca_system_score_gemma":0.000171555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570248,"about_ca_topic_score_gemma":0.002850894,"domain_scores_codex":[0.9999696,0.000002398008,0.000003284522,0.000008563553,0.0000105385,0.00000562644],"domain_scores_gemma":[0.9999728,0.000002507863,0.00001070579,0.000002159834,0.000005437241,0.000006252833],"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":[0.0000238664,0.00001188967,0.0001023284,0.00004877663,0.000002759439,0.00002499558,0.000004500125,0.00008362491,0.9978924,0.00002692977,0.00001528748,0.001762569],"study_design_scores_gemma":[0.000004639652,0.0001632333,0.001465579,0.000004326942,0.00001412241,0.00004978633,0.000007630498,0.0005906486,0.9965891,0.00001649359,0.001092008,0.000002554637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888193,0.00222054,0.005650286,0.00008025667,0.00002878802,0.00004367739,0.0003230472,0.0001433591,0.00269076],"genre_scores_gemma":[0.9890499,0.0009884468,0.006758693,0.00003430533,0.000004970501,0.00002493624,0.0003241547,0.00002559799,0.002789016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001570248,"threshold_uncertainty_score":0.003122151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271839253904866,"score_gpt":0.3753986718343438,"score_spread":0.3226802792952952,"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."}}