{"id":"W2097286124","doi":"10.5539/ijb.v6n3p24","title":"Woody Vegetation Utilisation in Tembe Elephant Park, Kwazulu-Natal, South Africa","year":2014,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland; Vegetation (pathology); Grassland; Canopy; Woody plant; Natural regeneration; Geography; Vegetation types; Ecology; Forestry; Biology; Agroforestry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291861,0.000187288,0.000124031,0.0007786928,0.0005416811,0.0003054834,0.0001827255,0.0001433287,0.001304148],"category_scores_gemma":[0.0003800691,0.0001629787,0.0001043321,0.0006645885,0.0003003831,0.0003568474,0.0003946544,0.0001147595,0.0001384524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353186,"about_ca_system_score_gemma":0.0002918903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03401101,"about_ca_topic_score_gemma":0.2033938,"domain_scores_codex":[0.9999063,0.0000220023,0.000006564223,0.00001475461,0.0000105836,0.00003979685],"domain_scores_gemma":[0.9998536,0.00001986942,0.00006946771,0.000006157483,0.00001752702,0.00003337882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001733837,0.00006702377,0.962275,0.0001535349,0.00003584166,0.00115326,0.01336729,0.00006190911,0.009102697,0.0001235132,0.0001830628,0.0133035],"study_design_scores_gemma":[0.000002117892,0.00004635023,0.9953608,0.00001486374,0.000006655628,0.0001848067,0.003891398,0.0000302881,0.0001120779,0.000008374661,0.0003399915,0.000002282986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996415,0.00006613208,0.00001371493,0.00001150453,4.990183e-7,0.000005131665,0.00005678364,4.43235e-7,0.0002042877],"genre_scores_gemma":[0.9993762,0.0001214946,0.0000831649,0.000007422962,7.129288e-7,0.00001371331,0.00008871451,4.436544e-7,0.0003080492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03401101,"threshold_uncertainty_score":0.06762606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135008159158163,"score_gpt":0.259845689643207,"score_spread":0.2463448737273907,"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."}}