{"id":"W4380997063","doi":"10.1002/9781119910527.ch3","title":"Deforestation Activities in Ezekoro Forest","year":2023,"lang":"en","type":"other","venue":"","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Deforestation (computer science); Geography; Livelihood; Climate change; Agroforestry; Agriculture; Vegetation (pathology); Ecosystem services; Normalized Difference Vegetation Index; Tree planting; Reducing emissions from deforestation and forest degradation; Ecosystem; Environmental protection; Forestry; Environmental science; Carbon stock; 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":[0.0001732626,0.0001022889,0.00007825276,0.0003918557,0.00127144,0.0006014265,0.00009110465,0.0001878243,0.001515692],"category_scores_gemma":[0.0002928894,0.0000898939,0.00005518187,0.0007435182,0.0005118204,0.0004955957,0.0004918885,0.0002685307,0.00007154689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006764602,"about_ca_system_score_gemma":0.0005618436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009395834,"about_ca_topic_score_gemma":0.03926199,"domain_scores_codex":[0.999886,0.00002692224,0.00001135451,0.00001515366,0.0000176595,0.00004290419],"domain_scores_gemma":[0.9997807,0.00005573614,0.0001103011,0.000005749769,0.0000199861,0.00002753519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005135557,0.00008538517,0.7663819,0.0003472415,0.000009023775,0.003118526,0.1900949,0.0001877937,0.003405256,0.005114677,0.000778105,0.03042576],"study_design_scores_gemma":[0.00000128803,0.00004339442,0.7826179,0.0001867823,0.000007486083,0.001148497,0.2050468,0.0001037176,0.0003716321,0.0003347321,0.01013094,0.000006813882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9939703,0.0005750143,0.00005184984,0.0001321844,0.000003932529,0.00001022396,0.00007144252,7.65218e-7,0.005184331],"genre_scores_gemma":[0.9979554,0.0007731229,0.0001025502,0.000032715,0.000001889853,0.000008655724,0.00003449502,6.629866e-7,0.001090402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009395834,"threshold_uncertainty_score":0.0186823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061686931553489,"score_gpt":0.1971590576125416,"score_spread":0.1865421882970067,"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."}}