{"id":"W2949943233","doi":"10.1128/mbio.00433-18","title":"A Genome-Wide Screen Identifies Genes in Rhizosphere-Associated <i>Pseudomonas</i> Required to Evade Plant Defenses","year":2018,"lang":"en","type":"article","venue":"mBio","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of General Medical Sciences; Canada Foundation for Innovation; Canada Research Chairs; Life Sciences Research Foundation; Massachusetts General Hospital; National Science Foundation","keywords":"Rhizosphere; Genome; Biology; Gene; Computational biology; Pseudomonas; Genetics; Microbiology; Bacteria","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":[0.000164309,0.0004413562,0.0003698714,0.0004882609,0.0002498714,0.0003875572,0.000251517,0.0003056609,0.0013525],"category_scores_gemma":[0.0002274713,0.000152004,0.0003957243,0.0004244429,0.0002000739,0.0001005596,0.0002056138,0.0003559118,0.000394247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000261038,"about_ca_system_score_gemma":0.0003629084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773064,"about_ca_topic_score_gemma":0.004765775,"domain_scores_codex":[0.9998602,0.00001170701,0.000006578422,0.00005068667,0.00003673498,0.00003419752],"domain_scores_gemma":[0.9997984,0.00006009866,0.0000548953,0.00001161858,0.00002009012,0.00005484846],"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":[0.0002404692,0.00002950444,0.003551263,0.00005992777,0.00002838351,0.0001628639,0.0000115514,0.00007861882,0.9937859,0.00002859358,0.0001738333,0.001849057],"study_design_scores_gemma":[0.0001176718,0.001070445,0.5085861,0.0000353747,0.0003757093,0.002895468,0.0002843002,0.002634749,0.4762697,0.0001838764,0.007501812,0.00004472856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883753,0.001087529,0.001835249,0.0001727448,0.00002292065,0.00004236722,0.006867095,0.0002251123,0.001371671],"genre_scores_gemma":[0.9829754,0.0007455455,0.003125622,0.0002465705,0.00001454575,0.00004137049,0.01108041,0.00005206154,0.001718458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001773064,"threshold_uncertainty_score":0.004524529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539088889508426,"score_gpt":0.2290035793916897,"score_spread":0.2036126904966054,"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."}}