{"id":"W3113002851","doi":"10.1016/j.enconman.2020.113748","title":"Towards robust investment decisions and policies in integrated energy systems planning: Evaluating trade-offs and risk hedging strategies for remote communities","year":2020,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Mitacs; Marine Environmental Observation Prediction and Response Network; Polar Knowledge Canada","keywords":"Environmental economics; Energy consumption; Renewable energy; Robustness (evolution); Context (archaeology); Energy planning; Risk analysis (engineering); Computer science; Reliability engineering; Operations research; Engineering; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01345696,0.001670987,0.002145078,0.001416664,0.0006221709,0.00426381,0.001659843,0.003470186,0.002529627],"category_scores_gemma":[0.03198303,0.001522711,0.00123704,0.001343342,0.002014918,0.005120378,0.002491741,0.003266314,0.0002069477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990944,"about_ca_system_score_gemma":0.004612459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668825,"about_ca_topic_score_gemma":0.01098618,"domain_scores_codex":[0.9962708,0.002581558,0.0001139786,0.0002873346,0.0004385226,0.0003078707],"domain_scores_gemma":[0.9853466,0.01162624,0.001323059,0.0005837815,0.0007665638,0.0003537246],"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":[0.00005157103,0.00002836871,0.0003404836,0.00001665579,0.00004257498,0.00001488767,0.00001395674,0.9941422,0.00008110276,0.003367016,0.00008429147,0.001816869],"study_design_scores_gemma":[0.0000182898,0.00004551443,0.0001750331,0.00001168879,0.00001666478,0.000002870552,0.00003265189,0.9900169,0.0001378273,0.009454395,0.00008163203,0.000006641914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4608883,0.001057522,0.5212811,0.003079223,0.00009606413,0.0005127822,0.0004884638,0.0003607904,0.01223577],"genre_scores_gemma":[0.9581975,0.000225496,0.04018007,0.000125972,0.00002300516,0.0001121985,0.0001474271,0.00005606898,0.0009323298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01668825,"threshold_uncertainty_score":0.07116801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282716979668463,"score_gpt":0.2504971018224336,"score_spread":0.2076699320257489,"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."}}