{"id":"W1665610831","doi":"10.1111/j.1654-1103.2010.01197.x","title":"Termite-induced heterogeneity in African savanna vegetation: mechanisms and patterns","year":2010,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Vegetation (pathology); Ecology; Spatial heterogeneity; Ecosystem; Herbivore; Biology; Ecosystem engineer; Geography","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":[0.003009834,0.0004158841,0.0008187341,0.002608863,0.0003298938,0.001250828,0.0006141915,0.0004221037,0.000783941],"category_scores_gemma":[0.007461837,0.0002236743,0.001676799,0.003017219,0.0007896974,0.0007766933,0.0007841248,0.0004176998,0.00003203132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007239397,"about_ca_system_score_gemma":0.001007922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00764739,"about_ca_topic_score_gemma":0.01450584,"domain_scores_codex":[0.9987687,0.0005945779,0.0001566309,0.0002608321,0.0001516676,0.00006741321],"domain_scores_gemma":[0.9928629,0.004976171,0.001568937,0.0002133647,0.0003024956,0.00007614285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001001833,0.0001044013,0.5118215,0.1496122,0.04925749,0.001383794,0.005397268,0.003125748,0.01046533,0.006851109,0.001563885,0.2594153],"study_design_scores_gemma":[0.00009512171,0.0003874939,0.9228276,0.01955585,0.02829954,0.001122478,0.00350356,0.001822867,0.001958436,0.005555546,0.01480123,0.0000702121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3972884,0.5961113,0.00217625,0.001349119,0.00009461999,0.00007602342,0.001054003,0.00002555499,0.001824727],"genre_scores_gemma":[0.9168969,0.0807611,0.001624648,0.0002293806,0.0000434736,0.00004620896,0.0003016187,0.000006394584,0.0000903224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00764739,"threshold_uncertainty_score":0.01591778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590561717734282,"score_gpt":0.2934772910036713,"score_spread":0.2775716738263284,"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."}}