{"id":"W2147208402","doi":"10.1002/ldr.1124","title":"KNOWLEDGE MANAGEMENT FOR LAND DEGRADATION MONITORING AND ASSESSMENT: AN ANALYSIS OF CONTEMPORARY THINKING","year":2011,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; United Nations University Institute for Water, Environment, and Health","funders":"Economic and Social Research Council","keywords":"Knowledge management; Land degradation; Scale (ratio); Variety (cybernetics); Land management; Computer science; Business; Environmental resource management; Data science; Land use; Engineering; Environmental science; Geography","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":[0.0114067,0.0004563315,0.0004627824,0.009240138,0.003294416,0.01313342,0.001238242,0.002415935,0.002164205],"category_scores_gemma":[0.008319766,0.0002599412,0.0006288388,0.006633435,0.0205899,0.009716145,0.003258575,0.002305973,0.0002204737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01360066,"about_ca_system_score_gemma":0.00707751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006539972,"about_ca_topic_score_gemma":0.005393918,"domain_scores_codex":[0.9953482,0.002689947,0.0002224454,0.000389186,0.001014902,0.0003354452],"domain_scores_gemma":[0.9818084,0.0145521,0.001190421,0.000528419,0.001491302,0.0004293876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004962962,0.00009032232,0.002305976,0.000702675,0.00003469573,0.0003480441,0.03942112,0.0021454,0.0003618486,0.88801,0.001952067,0.06457818],"study_design_scores_gemma":[0.00003509301,0.00007317081,0.006758526,0.00267038,0.00005052536,0.000548164,0.04709036,0.01294159,0.0007462568,0.8213208,0.1076915,0.00007357287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2812265,0.1269856,0.1465437,0.1199349,0.0005863262,0.0004368994,0.0001798495,0.0001570009,0.3239493],"genre_scores_gemma":[0.9449248,0.02133062,0.0287901,0.001844266,0.0002601121,0.0001670514,0.00005208441,0.00002415039,0.002606843],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01360066,"threshold_uncertainty_score":0.0986802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287349291761621,"score_gpt":0.3139143753385736,"score_spread":0.1851794461624115,"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."}}