{"id":"W4284988745","doi":"10.1016/j.jclepro.2022.132967","title":"Development and assessment of a hybrid biomass and wind energy-based system for cleaner production of methanol with electricity, heat and freshwater","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Environmental science; Renewable energy; Waste management; Electricity generation; Biogas; Anaerobic digestion; Hydrogen production; Wind power; Environmental engineering; Exergy; Electricity; Biomass (ecology); Engineering; Methane; Chemistry; Hydrogen; Power (physics); Electrical engineering","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":[0.001567055,0.0002267435,0.0005754009,0.000555545,0.0002005623,0.00002824542,0.000100505,0.00003895499,0.000005357715],"category_scores_gemma":[0.00004439749,0.0001755952,0.00005896365,0.0002776661,0.00009678835,0.0002375277,0.00005827535,0.0001643491,3.118142e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633441,"about_ca_system_score_gemma":0.0002614366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764035,"about_ca_topic_score_gemma":0.0003627063,"domain_scores_codex":[0.9975653,0.0002855046,0.0008816201,0.0003977202,0.0006374395,0.0002324603],"domain_scores_gemma":[0.9984005,0.00004771043,0.0008180959,0.000223794,0.0004163618,0.00009352611],"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":[0.001991543,0.0005282111,0.005688839,0.002516618,0.0009971929,0.00004294568,0.0007135175,0.280154,0.6785371,0.0006160815,0.0009890783,0.02722482],"study_design_scores_gemma":[0.001575924,0.001155541,0.0007540892,0.0002120295,0.0001831338,0.002176066,0.0008791125,0.003720607,0.9300832,0.00003924545,0.0589765,0.0002445401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958891,0.000532201,0.002045768,0.0003983949,0.0007190381,0.000312971,0.00000758843,0.00001985087,0.00007507639],"genre_scores_gemma":[0.9903009,0.00002812099,0.008851895,0.00001041512,0.0003378397,0.000036152,0.00001280018,0.0000461917,0.0003757099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2764334,"threshold_uncertainty_score":0.7160564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399405344815652,"score_gpt":0.2346372641721136,"score_spread":0.2206432107239571,"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."}}