{"id":"W2072054358","doi":"10.1111/j.1365-313x.2008.03425.x","title":"A high‐throughput chemical screen for resistance to <i>Pseudomonas syringae</i> in Arabidopsis","year":2008,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pseudomonas syringae; Arabidopsis; Arabidopsis thaliana; Pathosystem; Virulence; Biology; Salicylic acid; Microbiology; High-throughput screening; Phytoalexin; Flagellin; Pathogen; Bacteria; Gene; Mutant; Biochemistry; Genetics","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":[0.0004040354,0.000129796,0.0002257531,0.0000114663,0.0003770466,0.00003478111,0.0003905993,0.00005079549,0.00002856435],"category_scores_gemma":[0.0001100532,0.00004195045,0.00008569258,0.0001806309,0.00005390767,0.00006831876,0.00007851795,0.0001947421,0.00002105466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004170095,"about_ca_system_score_gemma":0.00001163062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004950005,"about_ca_topic_score_gemma":0.0007321071,"domain_scores_codex":[0.9989417,0.00005792074,0.0002627111,0.0001802452,0.0001921059,0.0003653802],"domain_scores_gemma":[0.999311,0.000415778,0.00009122006,0.0000488539,0.00003841514,0.00009473175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006360075,0.0000696123,0.003087312,0.000003943805,0.00003468364,0.0001213909,0.0003371954,0.000007858191,0.9680459,0.0002733118,0.02598575,0.001396966],"study_design_scores_gemma":[0.002507905,0.0006661712,0.5272182,0.0005567184,0.00009952453,0.008865257,0.0007275912,0.00004356,0.1101621,0.004339041,0.3433765,0.001437487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931442,0.0002006078,0.00001466087,0.005510747,0.0001450919,0.0002016935,0.0005250237,0.00002027482,0.0002377376],"genre_scores_gemma":[0.9967391,0.000299297,0.001289694,0.00059153,0.0006733162,0.00002435467,0.00003281742,0.00000129506,0.0003485777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8578839,"threshold_uncertainty_score":0.2899975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802347247886043,"score_gpt":0.2111992201881007,"score_spread":0.1731757477092402,"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."}}