{"id":"W3036398668","doi":"10.3390/en13123151","title":"Multi-Criteria Examination of Power-to-Gas Pathways under Stochastic Preferences","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power to gas; Renewable energy; Base load power plant; Computer science; Reliability engineering; Analytic hierarchy process; Electricity generation; Power (physics); Electric power system; Environmental economics; Process engineering; Operations research; Engineering; Distributed generation; Economics; Electrical engineering; Chemistry","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":[0.0001745392,0.0002454701,0.0003776067,0.0001405165,0.00006556114,0.00004952723,0.0003575482,0.00009897289,0.0002728735],"category_scores_gemma":[0.0002334128,0.0002232342,0.00008131609,0.0003788456,0.00006917156,0.0001756605,0.0001324323,0.00008149409,0.00009609786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004847195,"about_ca_system_score_gemma":0.00006438974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118244,"about_ca_topic_score_gemma":0.000417031,"domain_scores_codex":[0.9982749,0.0002014117,0.000448168,0.0004052902,0.0003680483,0.0003021338],"domain_scores_gemma":[0.9990944,0.0001237088,0.0001527492,0.0003172184,0.0001282361,0.0001836463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002303012,0.00005123578,0.00002310688,0.00004314051,0.00004430291,0.000003999256,0.003464426,0.8406658,0.143249,0.008501785,0.0003002727,0.003629952],"study_design_scores_gemma":[0.004816737,0.002158257,0.04883293,0.0007422887,0.0001822291,0.00003083963,0.02340207,0.1322249,0.7609827,0.002068371,0.02158619,0.002972444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817464,0.0002511893,0.01091729,0.0002245989,0.0005874005,0.000131644,0.000024013,0.0002484663,0.005868976],"genre_scores_gemma":[0.9967204,0.000008374364,0.002173793,0.0001868874,0.000191376,0.00005067107,0.00003098467,0.00004807988,0.0005893761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084408,"threshold_uncertainty_score":0.9103227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881273873394401,"score_gpt":0.2535111983962191,"score_spread":0.204698459662275,"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."}}