{"id":"W6911027987","doi":"10.5061/dryad.hqbzkh1bk","title":"Data &amp; Analysis for: Soil microbiome sequencing reveals pathogen accumulation and nutrient cycle changes, but not mycorrhizal suppression in naturally occurring invasion of garlic mustard","year":2019,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; Queen's University","funders":"","keywords":"Ecosystem; Microbial population biology; Invasive species; Nutrient cycle; Nutrient; Microbiome; Soil microbiology; Soil water; Soil ecology; Host (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002180059,0.001356343,0.001929373,0.002646275,0.001233986,0.002156383,0.001776107,0.001436522,0.1755103],"category_scores_gemma":[0.004393273,0.0006472126,0.001346831,0.002247572,0.001026336,0.001816481,0.003142435,0.002327944,0.05942298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008580908,"about_ca_system_score_gemma":0.003162066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003934628,"about_ca_topic_score_gemma":0.006989418,"domain_scores_codex":[0.9983236,0.0001292008,0.0001598161,0.0004944727,0.0005879846,0.0003048124],"domain_scores_gemma":[0.9977411,0.0005851002,0.0003223119,0.0004290571,0.00047745,0.0004450565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002649882,0.0004871657,0.0140334,0.004992693,0.0004843972,0.001041819,0.001090446,0.001057882,0.07039824,0.003913811,0.8342925,0.06555775],"study_design_scores_gemma":[0.001923505,0.0007059755,0.1094962,0.001276821,0.0003046934,0.0006972573,0.0008243702,0.02003656,0.05806651,0.009810715,0.7963743,0.0004830228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01283647,0.000239684,0.01131451,0.001760892,0.0006969734,0.0007252154,0.8925073,0.06017137,0.01974757],"genre_scores_gemma":[0.09069316,0.0009148574,0.1061704,0.003537971,0.0003061611,0.0070501,0.7427667,0.01776534,0.03079524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1755103,"threshold_uncertainty_score":0.5871405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257242466512505,"score_gpt":0.3461006060427472,"score_spread":0.2203763593914967,"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."}}