{"id":"W1974552336","doi":"10.1016/j.energy.2010.01.042","title":"An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level","year":2010,"lang":"en","type":"article","venue":"Energy","topic":"Water resources management and optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Stage (stratigraphy); Environmental science; Energy (signal processing); Stochastic modelling; Environmental economics; Environmental engineering; Economics; Mathematics; Statistics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063521,0.0002226495,0.0001820863,0.0001971447,0.0001554481,0.0001006188,0.0002547638,0.00008938094,0.00001269268],"category_scores_gemma":[0.000007933858,0.0002206858,0.00005181186,0.00009897126,0.0000151962,0.0002272429,0.00007832133,0.00009718828,0.000001521909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005593477,"about_ca_system_score_gemma":0.000004706904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000505535,"about_ca_topic_score_gemma":0.0004739765,"domain_scores_codex":[0.998989,0.00001665547,0.0002278872,0.0002483407,0.0001577845,0.0003603268],"domain_scores_gemma":[0.999405,0.00003037622,0.00005511257,0.0003572224,0.00002317335,0.0001291166],"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":[0.00003218876,0.00001523114,0.00001769439,0.00004812302,0.00002832589,0.000005277873,0.0005617184,0.9917198,0.004031152,0.002257677,0.0003099735,0.0009727763],"study_design_scores_gemma":[0.0005837362,0.00002986785,0.000004755555,0.00004176556,0.00002328143,0.000002582224,0.00006383777,0.99423,0.0005441904,0.0001437578,0.004056009,0.0002762486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1332816,0.00008507021,0.8643252,0.000009256619,0.0003454046,0.00008743162,0.00001515417,0.0004217092,0.001429151],"genre_scores_gemma":[0.9898825,0.000009269293,0.001979423,0.00002803235,0.0002673622,0.00007443488,0.0001672386,0.0001059891,0.007485718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8623458,"threshold_uncertainty_score":0.8999307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275718600378216,"score_gpt":0.2404222403449089,"score_spread":0.2128503803070873,"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."}}