{"id":"W2169845513","doi":"10.1017/s0021859611000530","title":"Identification of the environmental factors which drive the botanical and functional composition of permanent grasslands","year":2011,"lang":"en","type":"article","venue":"The Journal of Agricultural Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Edaphic; Grassland; Vegetation (pathology); Ecosystem; Dominance (genetics); Ecology; Composition (language); Environmental science; Herbivore; Geography; Agroforestry; Agronomy; Biology; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006271686,0.00005217801,0.00007016434,0.000009287698,0.0004081686,0.000006444987,0.0002973328,0.00001773635,0.00004546464],"category_scores_gemma":[0.00002715538,0.00001748658,0.00003660141,0.0001887963,0.001241621,0.0002127257,0.0001403755,0.0001069842,0.000001985314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005146704,"about_ca_system_score_gemma":0.000006793379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345438,"about_ca_topic_score_gemma":0.00004285142,"domain_scores_codex":[0.9991819,0.00007812438,0.0002415617,0.00006168241,0.0003586476,0.00007808896],"domain_scores_gemma":[0.9993882,0.00008426933,0.0004001009,0.00007319773,0.00003074103,0.00002353655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001647447,0.00006144856,0.3532598,0.000001253268,0.00001431982,5.816254e-8,0.004380221,0.0007160769,0.6411566,0.0002892794,0.00006364445,0.00004084603],"study_design_scores_gemma":[0.00006698035,0.00006052986,0.9765906,0.000004343822,0.000033774,0.00003879703,0.001592137,0.000109137,0.02126163,0.0002139245,0.000001835371,0.00002626589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990687,0.00002695159,0.00004648851,0.0004669577,0.0001284446,0.00007183401,0.00000253535,8.88911e-7,0.0001871513],"genre_scores_gemma":[0.9998724,0.00005139555,0.00001641639,0.00001612995,0.000009714164,5.566034e-7,4.127955e-7,7.506875e-7,0.00003220593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6233309,"threshold_uncertainty_score":0.4574804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009573190335766193,"score_gpt":0.1933167581356406,"score_spread":0.1837435677998744,"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."}}