{"id":"W4323353433","doi":"10.1101/2023.03.06.531303","title":"Roles of microbiota in autoimmunity in Arabidopsis","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; College of Engineering, Michigan State University; National Institutes of Health; Michigan State University","keywords":"Autoimmunity; Biology; Phenotype; Arabidopsis; Mutant; Genetics; Gene; Congenic; Immunology; Immune system; Microbiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001119397,0.0003540841,0.0001826417,0.0003692603,0.0002357401,0.0003403714,0.0001242138,0.0002321857,0.0008847733],"category_scores_gemma":[0.00006373729,0.0001325581,0.0002066795,0.0001446053,0.0001935052,0.0001995624,0.0004087221,0.0004128926,0.000305321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364257,"about_ca_system_score_gemma":0.0002233454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006770468,"about_ca_topic_score_gemma":0.0006631413,"domain_scores_codex":[0.9999071,0.00001184464,0.000004552992,0.00002667638,0.00003030323,0.00001955005],"domain_scores_gemma":[0.9999049,0.000009696359,0.00003127773,0.00001054211,0.00000971198,0.00003395262],"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":[0.0000341118,0.000007508726,0.0004974778,0.00002463848,0.000003697008,0.00009827997,0.00001042985,0.00008230007,0.9976714,0.0002736959,0.00006177384,0.001234595],"study_design_scores_gemma":[0.0000494019,0.0002826301,0.08641141,0.00002936321,0.00005471526,0.001661848,0.0001392542,0.005804703,0.8915518,0.002508111,0.01147257,0.00003423543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823271,0.003881508,0.008130882,0.0002966684,0.00006898152,0.00001684771,0.0005643921,0.0006046256,0.004108851],"genre_scores_gemma":[0.9929074,0.0008911268,0.002768583,0.00008741283,0.00001642902,0.00000910326,0.0003985227,0.00004505772,0.002876333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008847733,"threshold_uncertainty_score":0.003166497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338884785559119,"score_gpt":0.218397059326039,"score_spread":0.1950082114704478,"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."}}