{"id":"W4402143231","doi":"10.21203/rs.3.rs-4941047/v1","title":"Dominant species predict plant richness and biomass in global grasslands","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; University of Guelph","funders":"","keywords":"Species richness; Biomass (ecology); Grassland; Environmental science; Plant species; Ecology; Geography; Agroforestry; 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":[0.0005783259,0.0002457356,0.0001950367,0.0005205765,0.0001555423,0.0006597636,0.0001570611,0.0003720481,0.004477635],"category_scores_gemma":[0.002506271,0.000268306,0.0003401106,0.0003576749,0.0002334163,0.0004087729,0.0003796479,0.0002441569,0.0006531189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223637,"about_ca_system_score_gemma":0.0001406208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005710248,"about_ca_topic_score_gemma":0.01113277,"domain_scores_codex":[0.9998897,0.00003872442,0.000004153016,0.00002895433,0.000009961029,0.00002841495],"domain_scores_gemma":[0.998429,0.001010477,0.0001566712,0.000079914,0.00008180559,0.0002421435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001002625,0.00002649504,0.9896488,0.00001606011,0.0001126228,0.00004915833,0.00007702835,0.002889875,0.001582484,0.000150237,0.0003564516,0.004990523],"study_design_scores_gemma":[0.000007369248,0.00001937548,0.9911923,0.000005075022,0.00003887202,0.00006380129,0.0002245336,0.007259452,0.0001880217,0.0008016973,0.0001956744,0.000003820232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986154,0.00007407107,0.0005161537,0.00004474205,0.000005313485,8.907629e-7,0.0002036874,0.00001329083,0.0005263668],"genre_scores_gemma":[0.9990385,0.00004245297,0.0002089706,0.00001053381,0.000007635746,0.000001399907,0.0002070748,0.000008178987,0.0004754335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005710248,"threshold_uncertainty_score":0.01497924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798880507182973,"score_gpt":0.3212220669726372,"score_spread":0.2932332619008075,"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."}}