{"id":"W2750852553","doi":"10.1111/1365-2435.12967","title":"Out of the shadows: multiple nutrient limitations drive relationships among biomass, light and plant diversity","year":2017,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Biomass (ecology); Biology; Nutrient; Competition (biology); Biodiversity; Diversity (politics); Ecology","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":[0.0009196514,0.0002271568,0.0004810067,0.0004326732,0.000330211,0.0008415535,0.0003669273,0.0004543999,0.003606705],"category_scores_gemma":[0.002407844,0.0002450721,0.0003323364,0.0002763194,0.0009958773,0.001054227,0.0008305482,0.0005856962,0.0002461469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169405,"about_ca_system_score_gemma":0.0003315949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048033,"about_ca_topic_score_gemma":0.005246558,"domain_scores_codex":[0.9996462,0.0001316719,0.00001792713,0.000103715,0.00006018478,0.00004040241],"domain_scores_gemma":[0.9958587,0.002681636,0.0005187626,0.0003374979,0.000220125,0.0003832504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007817661,0.0002286094,0.902899,0.0001420642,0.0003667406,0.0002097968,0.001007553,0.002085378,0.07077646,0.004066557,0.0009739439,0.01646203],"study_design_scores_gemma":[0.00001281468,0.0001091404,0.9834379,0.00001690225,0.00008028629,0.0001274619,0.001215191,0.004338777,0.003157144,0.00662748,0.0008563887,0.00002064636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967787,0.0001801462,0.001253729,0.0003616548,0.000009489215,0.000004305235,0.00008789478,0.00001091781,0.001313115],"genre_scores_gemma":[0.9992206,0.00002575522,0.0003411292,0.00009774158,0.000008627569,0.000003317465,0.00003497873,0.00000402899,0.0002639521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003606705,"threshold_uncertainty_score":0.01206565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273700186457466,"score_gpt":0.1979927822518712,"score_spread":0.07062276360612463,"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."}}