{"id":"W2750155053","doi":"10.1016/j.ijhydene.2017.07.189","title":"A new approach to optimize the performance of a hydrogen reservoir using activated carbon as the storing material","year":2017,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computation; Mathematical optimization; Computer science; Hydrogen; Multi-objective optimization; Genetic algorithm; Point (geometry); Finite element method; Function (biology); Algorithm; Process engineering; Applied mathematics; Thermodynamics; Mathematics; Chemistry; Physics; Engineering","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":[0.0001057164,0.0003653125,0.0003620124,0.0002194963,0.0002382469,0.0004530952,0.0004742481,0.0004452356,0.0008113698],"category_scores_gemma":[0.0001275036,0.0001496461,0.0002496221,0.0002717006,0.0001527479,0.0005522323,0.0002573264,0.0003994799,0.0001558176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491708,"about_ca_system_score_gemma":0.0004391661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005237897,"about_ca_topic_score_gemma":0.001363277,"domain_scores_codex":[0.9999337,0.000004375805,0.000003688518,0.00001554686,0.00003294655,0.000009785877],"domain_scores_gemma":[0.999963,0.000008794744,0.000006030121,0.000006509411,0.00001129696,0.000004239707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001311579,0.0001826348,0.0005553432,0.0002694934,0.00004623535,0.0001267964,0.00003526458,0.05463522,0.891646,0.004097683,0.0005036603,0.04777053],"study_design_scores_gemma":[0.0000327265,0.0005647737,0.0005747245,0.00000967556,0.00005184971,0.0001267917,0.00003755682,0.4220523,0.5702333,0.001531991,0.004753521,0.00003088417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707113,0.002407958,0.3105175,0.0006222146,0.0003317495,0.0001510711,0.0002668872,0.0008105516,0.01418072],"genre_scores_gemma":[0.9236997,0.0005456554,0.07225759,0.00006274939,0.00002714289,0.00006446149,0.0001017627,0.00005343353,0.00318752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008113698,"threshold_uncertainty_score":0.002714276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869683585163334,"score_gpt":0.2709479791433032,"score_spread":0.2422511432916699,"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."}}