{"id":"W4292684616","doi":"10.1016/j.plantsci.2022.111427","title":"Ornamental tobacco floral nectar is a rich source of antimicrobial peptides","year":2022,"lang":"en","type":"article","venue":"Plant Science","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fondation De Famille Alvin Segal; Fulbright Association; Genome Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; McGill University","keywords":"Biology; Nectar; Antimicrobial; Antimicrobial peptides; Microorganism; Bacteria; Ornamental plant; Peptide; Plant defense against herbivory; Botany; Microbiology; Biochemistry; Gene; Genetics; Pollen","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009574585,0.000293614,0.0002236402,0.0002510144,0.0002387173,0.0004203582,0.0001251466,0.0002849186,0.001151166],"category_scores_gemma":[0.0001817824,0.0000874031,0.000211853,0.000163549,0.000125634,0.0002602169,0.0003837678,0.0004631147,0.0003626459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384761,"about_ca_system_score_gemma":0.0001081216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315467,"about_ca_topic_score_gemma":0.0002859304,"domain_scores_codex":[0.9999241,0.0000125828,0.000005347908,0.00001736116,0.00002152996,0.00001905646],"domain_scores_gemma":[0.9997684,0.00004405195,0.00004105455,0.0000210233,0.00003652669,0.00008907638],"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":[0.00006812002,0.000004980358,0.0004327685,0.00002075879,0.00000439947,0.0001193759,0.000007010675,0.000009661555,0.9979439,0.00002956749,0.00001695413,0.001342495],"study_design_scores_gemma":[0.00001904383,0.0003855582,0.05771688,0.00003038399,0.00004469033,0.00207561,0.0001353799,0.0003301296,0.9328259,0.0002199152,0.00620462,0.0000120513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866332,0.005854542,0.004075355,0.0001513363,0.00005337445,0.00001489918,0.0005106142,0.00006670318,0.002640031],"genre_scores_gemma":[0.9937781,0.001076034,0.002405626,0.00008805694,0.00004419487,0.0000100135,0.0008733377,0.00002074288,0.001703882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001151166,"threshold_uncertainty_score":0.003851056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158247934870738,"score_gpt":0.2155576643670098,"score_spread":0.2039751850183024,"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."}}