{"id":"W2516240444","doi":"10.1101/071548","title":"Root hair-endophyte stacking (RHESt) in an ancient Afro-Indian crop creates an unusual physico-chemical barrier to trap pathogen(s)","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Grain Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Endophyte; Biology; Symbiosis; Root hair; Fungus; Pathogen; Botany; Crop; Bacteria; Microbiology; Agronomy","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":[0.0000982075,0.0001958197,0.0001672056,0.0001943734,0.0003372287,0.0003255224,0.0001403509,0.0003739032,0.0007599866],"category_scores_gemma":[0.0001000223,0.0001125042,0.0001918148,0.0001740376,0.0002783567,0.0001980588,0.0004757033,0.0003687668,0.0002152257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693673,"about_ca_system_score_gemma":0.0001241039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005028031,"about_ca_topic_score_gemma":0.001189316,"domain_scores_codex":[0.9999158,0.000005804985,0.000004042431,0.00003893213,0.00001659918,0.00001876211],"domain_scores_gemma":[0.9999231,0.00000966404,0.00002842386,0.00001149541,0.000007651201,0.00001970971],"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":[0.00003949752,0.000006551348,0.002628263,0.00002097493,0.00000434434,0.0002833615,0.00004356315,0.00002869683,0.9949479,0.00008644585,0.00001694526,0.001893348],"study_design_scores_gemma":[0.00002137254,0.0004872989,0.2448976,0.00002057267,0.000049782,0.008877924,0.0007743858,0.001702034,0.7347796,0.0004896321,0.007869463,0.0000305214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972959,0.000279683,0.001586108,0.00005837703,0.000006970733,0.00000651606,0.0001219614,0.00003740861,0.0006070816],"genre_scores_gemma":[0.9961359,0.00009949252,0.002464714,0.00002858182,0.000002718194,0.000002707413,0.0001444892,0.000007784166,0.001113613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007599866,"threshold_uncertainty_score":0.002542436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846688409466109,"score_gpt":0.2275832086928276,"score_spread":0.2091163245981665,"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."}}