{"id":"W2905139837","doi":"10.1007/s00253-018-9564-6","title":"Deciphering differences in the chemical and microbial characteristics of healthy and Fusarium wilt-infected watermelon rhizosphere soils","year":2018,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Postdoctoral Science Foundation of Jiangsu Province; Jiangsu Planned Projects for Postdoctoral Research Funds; National Natural Science Foundation of China","keywords":"Rhizosphere; Fusarium oxysporum; Biology; Fusarium wilt; Microbiome; Fusarium; Bulk soil; Soil water; Agronomy; Relative species abundance; Soil microbiology; Botany; Abundance (ecology); Bacteria; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001545468,0.0001486638,0.0002843305,0.00002175723,0.0001672087,0.00002042515,0.000183373,0.0004382128,0.00002429835],"category_scores_gemma":[0.00001989975,0.00005924384,0.00001688561,0.0001360828,0.0009598727,0.00002722679,0.0001884992,0.0003077703,0.000003002265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007100045,"about_ca_system_score_gemma":0.000005392661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002160032,"about_ca_topic_score_gemma":0.0005857988,"domain_scores_codex":[0.999149,0.00005386644,0.0002464316,0.0002715231,0.00001553563,0.0002636959],"domain_scores_gemma":[0.9996079,0.0001726254,0.0001049342,0.00006910264,0.00002168631,0.00002376344],"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":[0.0001300306,0.00005576012,0.007771892,0.000009938341,0.00001143439,0.000001185062,0.0001088357,1.134319e-9,0.9671795,0.0003327295,0.00003466923,0.02436397],"study_design_scores_gemma":[0.00053948,0.0007756165,0.2005063,0.00003662281,0.00002310605,0.0005847075,0.000706915,0.000005899072,0.7907469,0.0003782428,0.005410144,0.0002861078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980384,0.0001418282,0.000003197691,0.001442777,0.00006559396,0.0001635966,0.00007417901,0.00002705447,0.00004336665],"genre_scores_gemma":[0.9989906,0.0004622385,0.0001037053,0.0003137341,0.0000481016,0.00000763637,0.0000676757,9.827751e-7,0.000005347556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927344,"threshold_uncertainty_score":0.3536691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009584410063119102,"score_gpt":0.1957263224219715,"score_spread":0.1861419123588524,"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."}}