{"id":"W2803480137","doi":"10.5539/jgg.v10n2p56","title":"Land-Use/Land-Cover Change and Anthropogenic Causes Around Koupa Matapit Gallery Forest, West-Cameroon","year":2018,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deforestation (computer science); Geography; Land cover; Land use; Population; Satellite imagery; Agriculture; Forestry; Forest cover; Agricultural land; Shifting cultivation; Land use, land-use change and forestry; Agroforestry; Environmental science; Physical geography; Remote sensing; Ecology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322811,0.000156394,0.0003485856,0.00005520379,0.0003908325,0.00003838933,0.000113471,0.0001481018,0.0002380547],"category_scores_gemma":[0.0000404187,0.00006251871,0.0001062338,0.0001640353,0.0008024625,0.0002654322,0.0001086044,0.0001551825,0.00001019949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004384102,"about_ca_system_score_gemma":0.000004697548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004397643,"about_ca_topic_score_gemma":0.004190772,"domain_scores_codex":[0.9990386,0.00007806474,0.0002699814,0.0001917415,0.00009850611,0.0003231113],"domain_scores_gemma":[0.9992085,0.0002762007,0.0002428744,0.0000403989,0.0001210406,0.0001110424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152819,0.00005016872,0.9966562,0.000004760722,0.0001323663,0.00003640655,0.0001045227,3.940746e-7,0.0002800275,0.00005828839,0.0002677832,0.00225628],"study_design_scores_gemma":[0.0002954101,0.001802194,0.9807096,0.00001450869,0.00006143717,0.000416092,0.0002772452,0.000007653881,0.00001240277,0.00119435,0.01507656,0.0001325925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936608,0.003752319,0.000003217414,0.002111304,0.000291423,0.00008306016,0.00001404344,0.00001184158,0.00007200129],"genre_scores_gemma":[0.9932257,0.00514197,0.00004434515,0.0006795491,0.0008369029,0.000003933464,0.000002788189,0.000001147298,0.00006368243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01594663,"threshold_uncertainty_score":0.3006007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984637192654103,"score_gpt":0.2320506704367231,"score_spread":0.2022042985101821,"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."}}