{"id":"W3109534009","doi":"10.1016/j.joule.2020.11.002","title":"Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts","year":2020,"lang":"en","type":"article","venue":"Joule","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Toronto; University of Calgary","funders":"Alfred P. Sloan Foundation","keywords":"Futures contract; Transparency (behavior); Work (physics); Best practice; Energy (signal processing); Macro; Open source; Energy system; Energy policy; Computer science; Engineering; Political science; Business; Computer security; Renewable energy","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":[0.0001258812,0.0001913766,0.000288827,0.0000500766,0.0001263268,0.0003628659,0.0002517452,0.0001136476,0.00001375287],"category_scores_gemma":[0.00004682585,0.0001928243,0.00005029596,0.0003435652,0.000005830605,0.0005230546,0.00005271473,0.00009611042,0.00001326973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016472,"about_ca_system_score_gemma":0.00004456454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009419584,"about_ca_topic_score_gemma":0.00001424415,"domain_scores_codex":[0.9990096,0.00003099925,0.0003403774,0.0002334295,0.0001249458,0.000260615],"domain_scores_gemma":[0.9994383,0.00004554987,0.00005543289,0.000161144,0.0001946235,0.0001048809],"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":[0.00001813817,0.000003378486,0.00000293582,0.000127201,0.00005448254,0.000003425532,0.0007803657,0.9892945,0.001176583,0.004335538,0.003294321,0.000909102],"study_design_scores_gemma":[0.0004451123,0.00002771313,3.427908e-7,0.0001194672,0.00001622843,0.000004673273,0.001757922,0.9658251,0.004649946,0.00001220968,0.02692051,0.000220753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007622217,0.0002024188,0.9701335,0.0001167417,0.0004535472,0.0003906592,0.00002639371,0.000658904,0.0203956],"genre_scores_gemma":[0.9895664,0.00001024432,0.009167707,0.0001734276,0.0002720901,0.0002006469,0.00008028158,0.000102887,0.0004263153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819442,"threshold_uncertainty_score":0.7863148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146959984699622,"score_gpt":0.2223678781771851,"score_spread":0.1908982783301889,"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."}}