{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00102001,0.0003726656,0.0005640078,0.0005187525,0.0001658713,0.0001695884,0.0002867106,0.0001902782,0.0002436253],"category_scores_gemma":[0.0005885001,0.0002763715,0.000202483,0.0009155101,0.0004899605,0.0004127023,0.0003186895,0.002058216,0.0001059112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528798,"about_ca_system_score_gemma":0.0004240691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925574,"about_ca_topic_score_gemma":0.00004161997,"domain_scores_codex":[0.9960285,0.000371281,0.0003979888,0.001158059,0.001283818,0.0007603825],"domain_scores_gemma":[0.9976879,0.0005400656,0.00006644373,0.0008802056,0.0004685952,0.0003568125],"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":[0.001195608,0.0003101172,0.001328635,0.0004198494,0.0002402387,0.0004611262,0.0001636018,2.297102e-7,0.8036788,0.00001742207,0.003337021,0.1888473],"study_design_scores_gemma":[0.002401167,0.0007999233,0.2585463,0.001362246,0.0002628985,0.0002147756,0.0001201025,0.0004494195,0.714781,0.0003649572,0.02012751,0.0005696981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470852,0.04650238,0.000001228497,0.003218561,0.0006763446,0.0009905602,0.0001673107,0.0001430067,0.001215425],"genre_scores_gemma":[0.9932699,0.0007925477,0.001241963,0.00004698423,0.0007228951,0.00002973173,0.0001894343,0.00006559226,0.003640988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2572176,"threshold_uncertainty_score":0.9999688,"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."}}