{"id":"W2728165835","doi":"10.18845/rfmk.v14i35.3149","title":"Changes in forest structure and composition in a successional tropical dry forest","year":2017,"lang":"en","type":"article","venue":"Revista Forestal Mesoamericana Kurú","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ecological succession; Jaccard index; Tropical and subtropical dry broadleaf forests; Ecology; Diversity index; Secondary succession; Geography; Species richness; Forestry; Biology; Mathematics; Statistics","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":[0.0002261485,0.000186463,0.0001321745,0.001386491,0.0004061936,0.0003099068,0.0001467297,0.0001452851,0.0003954534],"category_scores_gemma":[0.0005562762,0.0001081242,0.0001631785,0.0007583018,0.0003322829,0.0002243659,0.0003168466,0.0001145102,0.00006780199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474436,"about_ca_system_score_gemma":0.0002057373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356424,"about_ca_topic_score_gemma":0.03516825,"domain_scores_codex":[0.9998838,0.00001911466,0.00001131327,0.00003256957,0.00002155492,0.00003167317],"domain_scores_gemma":[0.9996583,0.00003884505,0.0001707616,0.00001737129,0.00004058173,0.0000739854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006959245,0.00002800272,0.9894245,0.00002482004,0.00002346152,0.0001707032,0.0008245317,0.00009970341,0.004056823,0.00004444904,0.00004068232,0.005192711],"study_design_scores_gemma":[6.984802e-7,0.00001956624,0.9995514,0.000001666112,0.000002633102,0.00008457893,0.0001225389,0.00006401045,0.00006654072,0.000009305133,0.00007610604,0.00000100696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995182,0.0001157106,0.00004712634,0.000005548058,9.328275e-7,0.000005853711,0.0001044021,0.00000173877,0.0002005759],"genre_scores_gemma":[0.9996289,0.00006556075,0.0001244274,0.000003920518,0.000001579146,0.000004024982,0.00011579,6.042303e-7,0.00005516543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356424,"threshold_uncertainty_score":0.02697057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007568921726323325,"score_gpt":0.2514794696434838,"score_spread":0.2439105479171605,"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."}}