{"id":"W3129937377","doi":"10.22207/jpam.15.1.13","title":"Antimicrobial Activity of Methanolic and Aqueous Extract of Rhodomyrtus tomentosa Leaves against Staphylococcus aureus and Escherichia coli","year":2021,"lang":"en","type":"article","venue":"Journal of Pure and Applied Microbiology","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"Universiti Teknologi MARA","keywords":"Antimicrobial; Staphylococcus aureus; Minimum inhibitory concentration; Preservative; Food science; Agar diffusion test; Minimum bactericidal concentration; Bacteria; Antibacterial activity; Traditional medicine; Escherichia coli; Chemistry; Microbiology; Food Preservatives; Gram-positive bacteria; Biology; Medicine; Biochemistry","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":[0.0002092591,0.0001604326,0.0005516306,0.00001621956,0.00006687923,0.00001759163,0.00009938994,0.0002105458,0.0000250855],"category_scores_gemma":[0.00003510802,0.00006897659,0.00008164682,0.0001154235,0.0003393762,0.00005542238,0.0001181841,0.0002201762,1.2889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007324305,"about_ca_system_score_gemma":0.00002236946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006244216,"about_ca_topic_score_gemma":0.00001924127,"domain_scores_codex":[0.9991494,0.00009043652,0.0003221941,0.0002020113,0.00004328418,0.0001926183],"domain_scores_gemma":[0.999107,0.0002626356,0.0004316474,0.00003844333,0.00008244425,0.00007779676],"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":[0.0002360948,0.0001765208,0.0007148792,0.00005106691,0.0000741742,0.00001143639,0.00006369621,7.623939e-7,0.9618246,0.00003316186,0.00007253555,0.03674107],"study_design_scores_gemma":[0.0003696703,0.0003241647,0.01032969,0.00003277704,0.0000358965,0.0001116273,0.0002570822,6.068332e-7,0.986544,0.0002516738,0.001616144,0.0001267117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974646,0.001754747,0.000005504466,0.0003187237,0.00004158508,0.00008313653,0.0001106522,0.000004280592,0.0002167822],"genre_scores_gemma":[0.9981993,0.001266609,0.0002566914,0.0001261443,0.0001132571,0.000001322129,0.00001009615,9.821634e-7,0.00002561667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03661436,"threshold_uncertainty_score":0.2812784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385738104117502,"score_gpt":0.2173423715439045,"score_spread":0.2034849905027294,"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."}}