{"id":"W2019332620","doi":"10.1073/pnas.1410400112","title":"Plant-derived antifungal agent poacic acid targets β-1,3-glucan","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biological and Environmental Research; National Institute of General Medical Sciences; National Human Genome Research Institute; RIKEN; Great Lakes Bioenergy Research Center; U.S. Department of Energy; Wisconsin Soybean Marketing Board; United Soybean Board; Japan Society for the Promotion of Science; Office of Science; Ministry of Education, Culture, Sports, Science and Technology; National Institutes of Health; National Science Foundation","keywords":"Antifungal; Fungicide; Glucan; Biology; Hydrolysate; Biochemistry; Biotechnology; Chemistry; Microbiology; Botany; Hydrolysis","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":[0.00005477022,0.0003240519,0.0001878245,0.0001629345,0.0001072913,0.000255779,0.0001356994,0.0002206754,0.0005799726],"category_scores_gemma":[0.00005168508,0.00007796985,0.0001759431,0.0001439139,0.0001405738,0.0001766617,0.0001797879,0.0004286362,0.0002575151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383283,"about_ca_system_score_gemma":0.0001291685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002553098,"about_ca_topic_score_gemma":0.0003294132,"domain_scores_codex":[0.999963,0.000004554915,0.000002614131,0.000008371157,0.00001279563,0.000008685073],"domain_scores_gemma":[0.9999723,0.000003946659,0.000006712506,0.000003318542,0.00000479594,0.00000891836],"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":[0.00002617636,0.000008112103,0.00009482126,0.00003740989,0.000002180434,0.0000705952,0.000003853012,0.00009947461,0.9967965,0.00009786816,0.00001917625,0.002743792],"study_design_scores_gemma":[0.00001005326,0.0003116882,0.002326802,0.000009027885,0.00001316597,0.0005498106,0.00001586518,0.0004571425,0.9893343,0.0001135668,0.006854375,0.000004193715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656509,0.01481435,0.01060311,0.0003047925,0.00006997221,0.00009595532,0.0006781161,0.0001179998,0.007664795],"genre_scores_gemma":[0.984548,0.008055591,0.004200419,0.0001157645,0.00001920128,0.00002622907,0.000492372,0.00001089615,0.002531498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005799726,"threshold_uncertainty_score":0.00194025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07388978801197413,"score_gpt":0.2804366304911312,"score_spread":0.206546842479157,"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."}}