{"id":"W4362581280","doi":"10.7176/jesd/14-6-06","title":"Socio-Economic Assessment of Value for Climate Services Case Study, Uganda and Kenya","year":2023,"lang":"en","type":"article","venue":"","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Value (mathematics); Geography; Socioeconomics; Environmental planning; Economics; Statistics; Mathematics","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":[0.0003742953,0.0001152406,0.0001453819,0.00004082449,0.0001799495,0.00002375553,0.00009740209,0.00003277559,0.0004436663],"category_scores_gemma":[0.000001600084,0.0001027786,0.0000324712,0.00008000145,0.00008278613,0.0001701583,0.0003915603,0.00003134988,0.00009084615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815893,"about_ca_system_score_gemma":0.000009111338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002767567,"about_ca_topic_score_gemma":0.0002699874,"domain_scores_codex":[0.9991294,0.00001955294,0.0002028474,0.000252615,0.0001061091,0.0002894422],"domain_scores_gemma":[0.9996799,0.00005881671,0.00005995514,0.0001322496,0.000001392173,0.0000676843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008515638,0.00008345457,0.9925622,0.00008187241,0.00002920129,0.0000789948,0.001922411,0.001448339,0.0002876103,0.0002316323,0.0005227207,0.002743051],"study_design_scores_gemma":[0.001238071,0.0002269534,0.9213488,0.000004874783,0.00003542877,0.00005152002,0.06149962,0.01275604,0.0002147838,0.0006627833,0.001698644,0.0002624503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941115,0.000003640353,0.00001294998,0.0001227002,0.0000503398,0.0005033956,0.00001470693,0.00004128313,0.005139466],"genre_scores_gemma":[0.9980646,0.00004194676,0.0007784907,0.00009243735,0.00001603756,0.0000675628,0.0000108584,0.00001400777,0.0009140127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07121337,"threshold_uncertainty_score":0.4857835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199017442968392,"score_gpt":0.2896021734192279,"score_spread":0.277611998989544,"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."}}