{"id":"W2902465582","doi":"10.3390/su11020462","title":"Defining and Quantifying National-Level Targets, Indicators and Benchmarks for Management of Natural Resources to Achieve the Sustainable Development Goals","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Consortium of International Agricultural Research Centers","keywords":"Sustainable development; Sustainability; Context (archaeology); Business; Dissemination; Government (linguistics); Environmental resource management; Natural resource; Environmental planning; Political science; Economic growth; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661782,0.0002270424,0.0002272514,0.0001276615,0.0004414614,0.00005727569,0.0002765272,0.00006769595,0.0001296047],"category_scores_gemma":[0.0002169218,0.0001786873,0.00004260413,0.0004290689,0.0002872209,0.0002489411,0.001088679,0.0001253032,0.000008246042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222464,"about_ca_system_score_gemma":0.00007929745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261907,"about_ca_topic_score_gemma":0.0000239421,"domain_scores_codex":[0.9979579,0.00006439562,0.0003704812,0.0005326434,0.0004595864,0.0006149233],"domain_scores_gemma":[0.9992471,0.0002106845,0.0001302637,0.0002358379,0.00005426436,0.0001218929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004195479,0.0001503194,0.8915008,0.00179481,0.000131675,0.000009015062,0.0169984,0.0008526901,0.00007933667,0.03301249,0.001418053,0.0536329],"study_design_scores_gemma":[0.0004633552,0.00007835369,0.9246944,0.0000190527,0.00001453886,0.000001839403,0.03597105,0.00007917211,0.000293208,0.007035934,0.03108492,0.0002642475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938285,0.0002638096,0.00008963128,0.001250268,0.00003919411,0.001898608,0.000005935182,0.00001557563,0.002608498],"genre_scores_gemma":[0.9916243,0.00001668431,0.004492802,0.0002236445,0.000007850423,0.0001983909,0.00001909495,0.00001676428,0.003400477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05336865,"threshold_uncertainty_score":0.7286658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008863846093770415,"score_gpt":0.2518445553425104,"score_spread":0.24298070924874,"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."}}