{"id":"W2804358076","doi":"10.20944/preprints201805.0226.v1","title":"Remote Sensing Based and Participatory Analysis of Land Degradation and Potential Land Conservation Measures in Kloto District (Togo, West Africa)","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kwame Nkrumah University of Science and Technology; West African Science Service Centre on Climate Change and Adapted Land Use; Canadian Institute for Theoretical Astrophysics","keywords":"Land degradation; Agroforestry; Cropping; Geography; Agriculture; Rainwater harvesting; Soil conservation; Soil retrogression and degradation; Soil fertility; Land cover; Environmental science; Land use; Soil water; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003658011,0.0001663307,0.0001219197,0.001002221,0.0004130402,0.0004316531,0.0002042283,0.0001801733,0.0008069117],"category_scores_gemma":[0.0006389862,0.00009914536,0.0001287863,0.001259698,0.0003199668,0.0003841392,0.0004696294,0.0001055304,0.00008870693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739654,"about_ca_system_score_gemma":0.0005665111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548216,"about_ca_topic_score_gemma":0.07005062,"domain_scores_codex":[0.999728,0.00008945551,0.00001490158,0.00003813803,0.00005184942,0.00007756969],"domain_scores_gemma":[0.9996692,0.00006751467,0.0001340658,0.0000241019,0.00006282931,0.00004231848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698784,0.000253161,0.8581216,0.0006390937,0.00008638164,0.001921611,0.02750822,0.003598474,0.01936835,0.001064605,0.001395787,0.08577273],"study_design_scores_gemma":[0.000006363195,0.00009968949,0.9620605,0.00005449254,0.00002166138,0.0002352517,0.03123705,0.002036782,0.00084832,0.0001700788,0.003218239,0.00001171424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985241,0.00005646618,0.0001939964,0.00004556811,0.000001120425,0.00003093876,0.0002706905,0.000002879518,0.0008742559],"genre_scores_gemma":[0.9984792,0.00007340701,0.0006309065,0.00001026545,0.000001298548,0.00003880293,0.0002097667,9.656109e-7,0.0005554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02548216,"threshold_uncertainty_score":0.0506677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570419673463875,"score_gpt":0.315909753964931,"score_spread":0.1588677866185435,"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."}}