{"id":"W4390603417","doi":"10.31181/jscda21202435","title":"Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa","year":2024,"lang":"en","type":"article","venue":"Journal of Soft Computing and Decision Analytics","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Climate change; Context (archaeology); Promotion (chess); Product (mathematics); Risk analysis (engineering); Environmental resource management; Business; Environmental economics; Computer science; Operations research; Environmental science; Economics; Political science; Geography; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002040224,0.00106282,0.001090258,0.001194977,0.0008329275,0.002541786,0.001686308,0.001736242,0.004917162],"category_scores_gemma":[0.003018818,0.0005299198,0.001568785,0.001353192,0.0007913517,0.001400222,0.001771951,0.001385571,0.0003578325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258826,"about_ca_system_score_gemma":0.002466191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960878,"about_ca_topic_score_gemma":0.01527293,"domain_scores_codex":[0.9989793,0.0004561839,0.00005023815,0.0001663176,0.0001656306,0.0001823086],"domain_scores_gemma":[0.9986413,0.000775326,0.0001607396,0.00003007692,0.0002869554,0.0001056837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000344933,0.00001896002,0.0006291892,0.00002938485,0.00002554585,0.0001247249,0.00007639802,0.9838024,0.0003058373,0.01140194,0.0001510023,0.003400027],"study_design_scores_gemma":[0.000006030175,0.00001897864,0.0001215435,0.000005714981,0.00001017627,0.00001384524,0.00004135037,0.9958208,0.00007563047,0.003579604,0.0003008368,0.000005604518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1748976,0.000648434,0.7964919,0.0009801339,0.0001083127,0.0003695251,0.0007018522,0.0002094931,0.02559278],"genre_scores_gemma":[0.9155406,0.000543344,0.07637918,0.0001059611,0.00002941747,0.0003885479,0.0003023992,0.00002897131,0.00668149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01960878,"threshold_uncertainty_score":0.03898931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127284706353152,"score_gpt":0.3519811866043873,"score_spread":0.2246964802512353,"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."}}