{"id":"W7090753048","doi":"10.5061/dryad.fj6q57449","title":"Mutualism mediates legume response to microbial climate legacies","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Genomics","keywords":"Rhizobia; Legume; Mutualism (biology); Climate change; Ecosystem; Microbiome; Context (archaeology); Symbiosis","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":[0.0006745636,0.001324911,0.00114541,0.001711075,0.0009894723,0.001596152,0.0009893299,0.001045383,0.01081134],"category_scores_gemma":[0.002572877,0.0003127571,0.001260719,0.002462758,0.0002790305,0.0007983803,0.001580467,0.0008315964,0.00818143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197887,"about_ca_system_score_gemma":0.0008962794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002932,"about_ca_topic_score_gemma":0.04037973,"domain_scores_codex":[0.9993145,0.0001495158,0.0000491226,0.0002984941,0.00007993043,0.0001084126],"domain_scores_gemma":[0.9992884,0.0002276584,0.0001368889,0.0001135114,0.0001347395,0.00009871132],"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":[0.001826357,0.0002346442,0.2088212,0.0102617,0.002635908,0.0004550097,0.0006519078,0.005356748,0.01622432,0.002515995,0.7195985,0.03141773],"study_design_scores_gemma":[0.000767545,0.0001501891,0.3703335,0.001074593,0.0009053451,0.0005047852,0.0005956216,0.004542796,0.002815436,0.002315342,0.6158597,0.0001352599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01743669,0.00207114,0.0002075891,0.0001751617,0.00003896703,0.00001176521,0.9784379,0.0002411295,0.001379572],"genre_scores_gemma":[0.01960092,0.0005151176,0.0007219521,0.0001207899,0.00001195672,0.00005421639,0.9782779,0.00004519662,0.0006518777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02002932,"threshold_uncertainty_score":0.0398255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009848565621541282,"score_gpt":0.233999956216664,"score_spread":0.2241513905951227,"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."}}