{"id":"W3143659719","doi":"10.1016/j.jclepro.2021.126909","title":"Development of a multigenerational energy system for clean hydrogen generation","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Renewable energy; Environmental science; Hydrogen production; Fossil fuel; Geothermal energy; Waste management; Greenhouse gas; Hydrogen sulfide; Wind power; Process engineering; Geothermal gradient; Environmental engineering; Engineering; Hydrogen; Chemistry; Ecology","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":[0.000907139,0.0001742496,0.0004058554,0.0002160866,0.0001674352,0.00003340909,0.0001346897,0.0001043041,0.00002476462],"category_scores_gemma":[0.0002047757,0.0001594868,0.0001970603,0.0002155138,0.00002695214,0.000288325,0.00002481555,0.00008438774,0.000002629704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241414,"about_ca_system_score_gemma":0.0005938238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006497863,"about_ca_topic_score_gemma":0.000837352,"domain_scores_codex":[0.9974315,0.0001799306,0.001347206,0.0002788552,0.0005590357,0.0002034694],"domain_scores_gemma":[0.9972191,0.00003134304,0.0009800586,0.0002576214,0.001415147,0.00009677382],"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":[0.00007400061,0.0001177628,0.00003530538,0.0001012295,0.0002212243,0.000009764986,0.000373362,0.3377119,0.6121064,0.003256473,0.001324704,0.04466784],"study_design_scores_gemma":[0.0005843949,0.00005232884,0.00004336588,0.00009299586,0.00005004242,0.0004855416,0.000657282,0.006323681,0.8601881,0.00003632789,0.1313416,0.0001443431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390128,0.0005865239,0.05532024,0.0002448749,0.0040364,0.0001253232,0.000004474498,0.00003526819,0.0006340612],"genre_scores_gemma":[0.9618755,0.0000221305,0.03086201,0.00002348446,0.004796632,0.00002086223,0.00007621894,0.00004346366,0.002279673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3313882,"threshold_uncertainty_score":0.6503684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312987238347916,"score_gpt":0.2444713993241032,"score_spread":0.2131726754893116,"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."}}