{"id":"W4392655954","doi":"10.4236/gep.2024.123001","title":"Sustainable Wetland Management Using the Kunming-Montreal Global Biodiversity Framework as a Guide in the Sierra Leone Case","year":2024,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tongji University","keywords":"Sierra leone; Wetland; Biodiversity; Geography; Environmental resource management; Environmental science; Environmental planning; Agroforestry; Water resource management; Environmental protection; Ecology; Socioeconomics; Biology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351648,0.0001220624,0.00009030918,0.00005785976,0.0004596655,0.0001837469,0.0002314133,0.00004365695,0.0001872156],"category_scores_gemma":[0.00001665471,0.00007398204,0.00005442775,0.0003496224,0.0002960329,0.0005462517,0.0002629799,0.0002212279,0.00004322178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053402,"about_ca_system_score_gemma":0.00000790887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425616,"about_ca_topic_score_gemma":0.0001849742,"domain_scores_codex":[0.9986609,0.0001078627,0.0002547682,0.0002345769,0.000494357,0.0002474841],"domain_scores_gemma":[0.9996351,0.00002458499,0.0001150695,0.0001660108,0.000002175738,0.00005708505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007733978,0.002276664,0.1612191,0.0006585031,0.0004297388,0.04579373,0.02795501,0.06514688,0.004407069,0.01013815,0.01436459,0.6668372],"study_design_scores_gemma":[0.001391147,0.001250046,0.3209164,0.0002435354,0.0004248844,0.01202658,0.06938194,0.01316661,0.0002435071,0.01728611,0.5629013,0.0007680167],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633636,0.0002347382,0.02916334,0.005489841,0.0001303564,0.0005859703,0.000002174751,0.000008153927,0.00102177],"genre_scores_gemma":[0.9959672,0.0006030095,0.001453837,0.001064705,0.00003135402,0.00001527128,4.606477e-7,0.000003121311,0.0008610306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6660692,"threshold_uncertainty_score":0.643407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445449534712415,"score_gpt":0.2397603651031613,"score_spread":0.2253058697560371,"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."}}