{"id":"W4402280375","doi":"10.1177/00368504241278783","title":"Getting to the root of root–microbe interactions","year":2024,"lang":"en","type":"article","venue":"Science Progress","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Biological and Environmental Research; Office of Science; National Science Foundation","keywords":"Metabolome; Root (linguistics); Biology; Microbial ecology; Ecology; Functional ecology; Plant roots; Ecosystem; Nutrient; Microbial population biology; Botany; Metabolomics; Bacteria; Bioinformatics","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":[0.001628985,0.0005510908,0.000946846,0.0008032212,0.001222742,0.004233736,0.0008143608,0.003685788,0.004523325],"category_scores_gemma":[0.003343797,0.000236779,0.00055319,0.0004201933,0.00341667,0.006172276,0.002632417,0.005575849,0.002203992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336855,"about_ca_system_score_gemma":0.001150158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143573,"about_ca_topic_score_gemma":0.005373325,"domain_scores_codex":[0.9986727,0.0003354608,0.00008564857,0.0003896744,0.0003415885,0.0001749587],"domain_scores_gemma":[0.9979214,0.0008588638,0.0002060139,0.0001538848,0.000657199,0.0002027215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004820888,0.0000494293,0.009703375,0.004952352,0.0002225542,0.002994251,0.009112364,0.001073066,0.2953888,0.1518602,0.109111,0.4150505],"study_design_scores_gemma":[0.00001578223,0.0001633824,0.01190147,0.001820673,0.0001405609,0.001890762,0.01066667,0.001695132,0.05499444,0.09267895,0.8238963,0.0001359594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07169035,0.3934261,0.096873,0.3570207,0.03523305,0.00009207698,0.0006832457,0.000728301,0.04425326],"genre_scores_gemma":[0.4528534,0.2943455,0.04891136,0.09355393,0.03526774,0.0001381306,0.0005935485,0.0005982791,0.07373813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004523325,"threshold_uncertainty_score":0.01513207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054761149563594,"score_gpt":0.2860003557194431,"score_spread":0.2654527442238072,"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."}}