{"id":"W4226323283","doi":"10.1186/s40168-022-01234-x","title":"The phyllosphere microbiome shifts toward combating melanose pathogen","year":2022,"lang":"en","type":"article","venue":"Microbiome","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China; Earmarked Fund for China Agriculture Research System; Zhejiang University","keywords":"Phyllosphere; Biology; Microbiome; Microbial ecology; Methylobacterium; Microbiology; Metagenomics; Sphingomonas; Human pathogen; Bacteria; Pseudomonas; Genetics; Gene","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003893433,0.0001827802,0.0001660605,0.00001445756,0.002165993,0.0001924844,0.0007569317,0.00005062018,0.001841984],"category_scores_gemma":[0.00001820898,0.00006960565,0.0001584829,0.000511017,0.00008439378,0.0001009109,0.0005398231,0.000363084,0.0001828282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050474,"about_ca_system_score_gemma":0.00001451576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006393507,"about_ca_topic_score_gemma":0.0003127891,"domain_scores_codex":[0.9986383,0.0002316421,0.000289431,0.0002796426,0.0001211012,0.0004398924],"domain_scores_gemma":[0.9993869,0.0002298215,0.000147262,0.0001270282,0.00004794086,0.00006101544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000267535,0.0001027066,0.0002182267,0.000002965262,0.00002434402,0.000009046173,0.0001670899,0.000002647814,0.9706069,0.00003453342,0.01259944,0.01620537],"study_design_scores_gemma":[0.0001756563,0.0001975816,0.008181538,0.00001181767,0.00001267371,0.0001761387,0.002012325,0.00001439281,0.02948432,0.00008975796,0.9593546,0.0002892495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940799,0.0007572366,0.000001517428,0.002320942,0.0005836756,0.0002223467,0.001122427,0.00008839669,0.000823505],"genre_scores_gemma":[0.9962838,0.00004223697,0.0000668564,0.0005543589,0.000107248,0.00004102654,0.0005660615,0.000002565313,0.002335793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9467551,"threshold_uncertainty_score":0.9991331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621986440806735,"score_gpt":0.2071094417975165,"score_spread":0.1908895773894491,"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."}}