{"id":"W6892959348","doi":"10.5281/zenodo.13362131","title":"Energy Transition Pathways for Zambia: A Modelling Approach Using OseMOSYS","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Renewable energy; Energy transition; Variable renewable energy; Electricity; Energy policy; Diversification (marketing strategy); Investment (military); Energy engineering; Greenhouse gas; Electricity generation","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":[0.0004417695,0.0001789589,0.0001511864,0.0003186933,0.0007775999,0.0007606514,0.0003146372,0.0001258381,0.000352123],"category_scores_gemma":[0.00002946311,0.0001983608,0.00007958031,0.0005935598,0.00003568392,0.0003701196,0.00006707172,0.0001800068,0.0001902207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939477,"about_ca_system_score_gemma":0.000004370823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003498358,"about_ca_topic_score_gemma":2.32566e-7,"domain_scores_codex":[0.9987022,0.0001207293,0.0002780421,0.000345182,0.0002126887,0.0003411165],"domain_scores_gemma":[0.9993306,0.00001893201,0.00002606397,0.0002317879,0.000297887,0.00009475455],"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":[0.00001475904,0.00002343432,5.948358e-9,0.0002846831,0.00006406495,0.000004704779,0.001104243,0.9444614,0.01071873,0.01697679,0.009582594,0.01676457],"study_design_scores_gemma":[0.0001512406,0.00003706383,9.076393e-8,0.0000793265,0.00002078847,0.00007709245,0.0001613304,0.7853109,0.001340486,0.0002431738,0.2124112,0.0001672667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001479948,0.0003116341,0.9645976,0.00003286435,0.0002314362,0.0002590845,0.0001799041,0.002568638,0.03033891],"genre_scores_gemma":[0.9827241,0.000104792,0.01077348,0.00003258245,0.0003416392,3.575933e-7,0.003169955,0.002644248,0.0002088747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812441,"threshold_uncertainty_score":0.8088919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331259779004317,"score_gpt":0.2060514565202962,"score_spread":0.162738858730253,"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."}}