{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002164497,0.0002232984,0.0001763939,0.0003261176,0.0005952179,0.0005522259,0.0005245238,0.0003936996,0.005176686],"category_scores_gemma":[0.0001753139,0.0001265384,0.000257594,0.0002557232,0.0001407158,0.0007776935,0.0007116473,0.0003514597,0.0009524513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444825,"about_ca_system_score_gemma":0.001180419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299592,"about_ca_topic_score_gemma":0.004605021,"domain_scores_codex":[0.9999164,0.00001608398,0.00000350197,0.00001584365,0.00003325077,0.00001494905],"domain_scores_gemma":[0.9999207,0.000006081032,0.000005351875,0.0000121404,0.00004068443,0.00001498988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006687988,0.001246211,0.01217494,0.0004104582,0.0001030449,0.0009576643,0.0002670263,0.1576198,0.332015,0.04605859,0.007455541,0.4410229],"study_design_scores_gemma":[0.0002438079,0.002077012,0.01216973,0.00008831976,0.0001504434,0.0004942716,0.000374108,0.6070297,0.272153,0.01225038,0.09288866,0.0000805977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6426775,0.0007397648,0.2831275,0.001076925,0.0003258633,0.0006281408,0.0008259853,0.001622444,0.06897587],"genre_scores_gemma":[0.9144518,0.0002684853,0.07464021,0.00006418453,0.00001663734,0.0001443007,0.0002847097,0.00003684809,0.01009289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005176686,"threshold_uncertainty_score":0.01731777,"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."}}