{"id":"W2995730770","doi":"10.1016/j.xplc.2019.100016","title":"Plant NLRs: The Whistleblowers of Plant Immunity","year":2019,"lang":"en","type":"review","venue":"Plant Communications","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Plant Immunity; Plant biology; Biology; Effector; Computational biology; Immunity; Immune system; Genetics; Cell biology; Arabidopsis; Gene; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005417585,0.0003652861,0.001042178,0.00005012774,0.000724606,0.00008734152,0.003883312,0.0002599229,0.0002897098],"category_scores_gemma":[0.0001209177,0.000121517,0.0005143352,0.0004264215,0.0002366187,0.000111553,0.0009282527,0.001186394,0.00026575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007793016,"about_ca_system_score_gemma":0.00008895036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379443,"about_ca_topic_score_gemma":0.002761482,"domain_scores_codex":[0.9976161,0.0008254189,0.0008178016,0.0002362999,0.0001955108,0.000308912],"domain_scores_gemma":[0.9933384,0.004431819,0.0007698187,0.001309038,0.00008535622,0.00006555465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004773994,0.001201646,0.00003779795,0.002172789,0.0009143983,0.000005693075,0.0005072833,0.000001436493,0.001401074,0.002694049,0.04966362,0.9413525],"study_design_scores_gemma":[0.000040768,0.00005885683,0.00008013559,0.003100559,0.0003267129,0.000199495,0.0003037759,0.00002221781,0.00000896228,0.00001602597,0.9955735,0.0002689911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000297474,0.9648444,5.737133e-7,0.0003498998,0.0002851565,0.0007783889,0.02941041,0.0000571186,0.003976554],"genre_scores_gemma":[0.0007231235,0.9771402,0.00004841451,0.00005790584,0.00005375487,0.00009067615,0.02148212,0.000003629768,0.0004001866],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9459099,"threshold_uncertainty_score":0.7216225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393276325903355,"score_gpt":0.3084334289280612,"score_spread":0.1691057963377257,"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."}}