{"id":"W4382700906","doi":"10.1016/j.energy.2023.128237","title":"A baseline long term technoeconomic electricity supply model for highly regulated fuel importing countries prone to shortages: Case of Jordan","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Deutsche Kniegesellschaft; Baqai Medical University; Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Kungliga Tekniska Högskolan; Deanship of Scientific Research, University of Jordan; Deutsche Gesellschaft für Internationale Zusammenarbeit; German-Jordanian University","keywords":"Renewable energy; Electricity; Baseline (sea); Business; Economic shortage; Natural resource economics; Natural gas; Investment (military); Energy policy; Electricity generation; Environmental economics; Economics; Power (physics); Politics; Engineering; Waste management","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":[0.0007671458,0.0005988277,0.00103591,0.0006119058,0.0006652736,0.00194291,0.001666041,0.002663232,0.005473644],"category_scores_gemma":[0.001357463,0.0005792522,0.001069132,0.0008309472,0.0009220795,0.001426531,0.0008756212,0.001313837,0.0004754209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321006,"about_ca_system_score_gemma":0.00176368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06938344,"about_ca_topic_score_gemma":0.04689921,"domain_scores_codex":[0.999708,0.0001340367,0.000009180709,0.00004484969,0.00002532843,0.00007850135],"domain_scores_gemma":[0.9994794,0.0001980685,0.00006322288,0.00003115575,0.0001579571,0.00007017609],"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":[0.00009496713,0.00004957144,0.0005933975,0.00001892552,0.00001653129,0.0001766489,0.00001839085,0.9949701,0.0001973352,0.00269003,0.0004477866,0.0007262461],"study_design_scores_gemma":[0.00003251427,0.00004885822,0.0005247609,0.000006041179,0.00001309365,0.00002090973,0.00008050198,0.9975951,0.00009217046,0.001204051,0.0003714914,0.00001054361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184644,0.0003942913,0.03571656,0.001365981,0.0000733183,0.0001139434,0.0021339,0.0002139505,0.04152358],"genre_scores_gemma":[0.9858202,0.0001052982,0.002736743,0.00005518164,0.00001329109,0.00005388449,0.0004994299,0.00003391169,0.01068208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06938344,"threshold_uncertainty_score":0.1379592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008088382496889571,"score_gpt":0.2209705985413759,"score_spread":0.2128822160444864,"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."}}