{"id":"W2075934337","doi":"10.1038/nrg3748","title":"Microbial genome-enabled insights into plant–microorganism interactions","year":2014,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":247,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Metagenomics; Microorganism; Genome; Microbial ecology; Ecology; Microbiome; Host (biology); Evolutionary biology; Computational biology; Bacteria; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003449466,0.0008115817,0.002388254,0.00009243393,0.0005142165,0.0002729264,0.001196301,0.001169404,0.0006939876],"category_scores_gemma":[0.0001225167,0.0003063672,0.001050414,0.0006987058,0.000067987,0.0001049319,0.0003393573,0.002673627,0.001505843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079495,"about_ca_system_score_gemma":0.0000654911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004594373,"about_ca_topic_score_gemma":0.0007048924,"domain_scores_codex":[0.9965706,0.000743989,0.001301429,0.0007261111,0.000177932,0.0004798686],"domain_scores_gemma":[0.9979755,0.0003944559,0.0009223594,0.0003763491,0.0001409141,0.0001904334],"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":[0.000003341305,0.000103482,8.249854e-7,0.002528789,0.0001024416,0.000006716613,0.00003254147,1.534841e-7,0.01147373,0.00001805783,0.0201576,0.9655723],"study_design_scores_gemma":[0.00005014534,0.00007556468,0.000008567622,0.005090616,0.0004633374,0.0002682517,0.00000733148,0.000001298276,0.00008646765,0.00002482078,0.9932798,0.0006437585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003045978,0.9952859,0.000007520351,0.00006037377,0.002176011,0.001224791,0.0002456768,0.00007256228,0.0006225427],"genre_scores_gemma":[0.00005882355,0.9921878,0.0003992539,0.0004166016,0.001773539,0.0000737108,0.003849321,0.00001115725,0.001229809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9731222,"threshold_uncertainty_score":0.9999388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006755689526317,"score_gpt":0.2896683240357367,"score_spread":0.2596007671404735,"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."}}