{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004129573,0.0007169963,0.001081917,0.002046781,0.0003363605,0.001168423,0.0006827918,0.001136242,0.003135687],"category_scores_gemma":[0.0004070125,0.0002348569,0.0004243351,0.001574367,0.0006857387,0.001878012,0.0006941619,0.001895347,0.002569044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006452949,"about_ca_system_score_gemma":0.0007776906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005189367,"about_ca_topic_score_gemma":0.0007323808,"domain_scores_codex":[0.9998419,0.00002278789,0.0000203839,0.00002853663,0.00006647937,0.00001978893],"domain_scores_gemma":[0.9998348,0.00006995204,0.00002615091,0.00000677987,0.00004181076,0.00002047621],"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":[0.00007507042,0.00004638356,0.0001470363,0.01381563,0.00005283728,0.0002731951,0.000123536,0.0002855983,0.008015454,0.01138296,0.02058385,0.9451985],"study_design_scores_gemma":[0.000006652747,0.000044379,0.0004158719,0.001477696,0.00003042394,0.0007893653,0.00006251474,0.00004797736,0.0007897681,0.003236822,0.9930871,0.0000114907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001443634,0.9977545,0.0002343206,0.0003111452,0.000207073,0.000003964508,0.00001434906,0.00001203983,0.00131828],"genre_scores_gemma":[0.0009727359,0.9972722,0.0002527524,0.0002064877,0.0001823111,0.00000447923,0.00002916079,0.000001860816,0.001077964],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003135687,"threshold_uncertainty_score":0.01048988,"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."}}