{"id":"W4377021809","doi":"10.33774/coe-2023-q3fzv","title":"Incremental Advances to Address Challenges in Long-Term Strategic Energy Planning in LMICs","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Foreign, Commonwealth and Development Office; Government of the United Kingdom","keywords":"Energy planning; Sustainability; Business; Transparency (behavior); Energy security; Developing country; Environmental economics; Risk analysis (engineering); Process management; Computer science; Economics; Economic growth; Renewable energy; Computer security; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002096191,0.0004027236,0.0004465478,0.0008317928,0.00001571222,0.00007060115,0.0003553557,0.0004458177,0.00002674338],"category_scores_gemma":[0.00000995878,0.0004361305,0.00004712446,0.0003141362,0.00001095429,0.000143233,0.0002218215,0.0005063199,0.00001934844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013857,"about_ca_system_score_gemma":0.00004242972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137359,"about_ca_topic_score_gemma":0.02835482,"domain_scores_codex":[0.9982089,0.00006244659,0.0005864886,0.0005045796,0.0002187145,0.0004188667],"domain_scores_gemma":[0.9994426,0.00004472294,0.00006041568,0.000338913,0.00003932722,0.00007403894],"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":[0.0000107109,0.00001625221,0.001299816,0.0004113166,0.00003098302,0.0001033729,0.0005208352,0.9937466,0.0001288393,0.001451844,0.00002352366,0.002255893],"study_design_scores_gemma":[0.001408193,0.0001334542,0.01629102,0.01433015,0.00002918758,0.00002309659,0.007212074,0.9482372,0.006956235,0.001916635,0.0003437172,0.003118976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373837,0.05522415,0.02795204,0.0002680155,0.008958285,0.001645269,0.0001095273,0.004072377,0.1643866],"genre_scores_gemma":[0.9893903,0.008776481,0.0007816182,0.00001532835,0.0001507718,0.0003300422,0.0002212943,0.0001274112,0.0002067797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520065,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833510690005644,"score_gpt":0.2880428960833309,"score_spread":0.2197077891832744,"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."}}