{"id":"W4391652800","doi":"10.1080/14786419.2024.2309554","title":"Activity of extracts and terpenoids from <i>Tontelea micrantha</i> (Mart. ex Schult.) A.C.Sm. (Celastraceae) against pathogenic bacteria","year":2024,"lang":"en","type":"article","venue":"Natural Product Research","topic":"Natural Compounds in Disease Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Terpenoid; Antibacterial activity; Minimum bactericidal concentration; Cytotoxicity; Minimum inhibitory concentration; Microbiology; Klebsiella pneumoniae; Biology; Traditional medicine; Antimicrobial; Vero cell; Klebsiella oxytoca; Bacteria; Chemistry; Escherichia coli; In vitro; Botany; Biochemistry; Medicine","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":[0.00007594589,0.0005726546,0.0002832286,0.0008822948,0.0002300103,0.0002817648,0.0001485284,0.000188832,0.001170775],"category_scores_gemma":[0.000116437,0.0001422395,0.0004447066,0.0003720532,0.0001464433,0.0002334074,0.0002364765,0.0002998627,0.0002259366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054602,"about_ca_system_score_gemma":0.0001776067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007629836,"about_ca_topic_score_gemma":0.00118605,"domain_scores_codex":[0.9999459,0.000008385947,0.000006798138,0.00001310505,0.0000149342,0.00001089769],"domain_scores_gemma":[0.9999344,0.00001351607,0.00002240033,0.000003745781,0.000009494704,0.00001638205],"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":[0.000245842,0.00004365969,0.0005859951,0.0002200066,0.00002975539,0.0001171339,0.00003649135,0.00006998864,0.9925665,0.0000233123,0.00003784288,0.006023495],"study_design_scores_gemma":[0.00008960997,0.003044617,0.09315493,0.0001011976,0.0004745886,0.001830831,0.0002943526,0.0007394614,0.8878469,0.0001185872,0.01226538,0.00003949148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874978,0.00834534,0.0008218829,0.000138628,0.00002868497,0.00003564371,0.0004876436,0.00006159063,0.002582777],"genre_scores_gemma":[0.9929876,0.002893803,0.001719951,0.000121198,0.0000280353,0.00002440062,0.0007726395,0.00001326211,0.001439225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001170775,"threshold_uncertainty_score":0.003916681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331227395962165,"score_gpt":0.3692453826521391,"score_spread":0.3259331086925175,"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."}}