{"id":"W7093318830","doi":"10.5281/zenodo.17419432","title":"Synthetic microbial inoculation rewires cross-kingdom rhizosphere networks to accelerate post-drought recovery in forage crops","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Forage; Rhizosphere; Inoculation; Colonization; Crop","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":[0.001088449,0.001841721,0.00177971,0.001899231,0.0007824334,0.001950008,0.002067684,0.002539162,0.01896807],"category_scores_gemma":[0.004267284,0.0004631896,0.001893248,0.002957589,0.0004256995,0.0007838914,0.00140926,0.00127555,0.0166259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107841,"about_ca_system_score_gemma":0.001791439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521033,"about_ca_topic_score_gemma":0.0338595,"domain_scores_codex":[0.9993061,0.000130578,0.00006294518,0.0002722227,0.0001275868,0.0001005817],"domain_scores_gemma":[0.9984211,0.0006860918,0.0002624983,0.0002798512,0.0001782993,0.0001722486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001717897,0.0002149421,0.01799498,0.009193812,0.001291882,0.0001925955,0.0001112803,0.006250313,0.004745666,0.001528179,0.9421928,0.01456566],"study_design_scores_gemma":[0.003495815,0.0004982179,0.06872056,0.001847956,0.001865843,0.0004224991,0.0002392577,0.007398843,0.005400981,0.008769526,0.9011132,0.000227308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001804171,0.0006019167,0.0001190326,0.0001305748,0.00002758061,0.000008409943,0.9965161,0.0003491192,0.0004430411],"genre_scores_gemma":[0.004633457,0.0002774412,0.0004255674,0.0001084584,0.000009169971,0.0000703595,0.9939632,0.00004981447,0.0004625221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01896807,"threshold_uncertainty_score":0.06345451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721948858518418,"score_gpt":0.2556826719335368,"score_spread":0.2284631833483526,"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."}}