{"id":"W4388979176","doi":"10.1016/j.scitotenv.2023.168668","title":"Towards a sustainable environment and carbon neutrality: Optimal sizing of standalone, green, reliable, and affordable water-power cogeneration systems","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Khalifa University of Science, Technology and Research","keywords":"Wind power; Cogeneration; Renewable energy; Photovoltaic system; Life-cycle assessment; Environmental science; Environmental economics; Engineering; Environmental engineering; Electricity generation; Reliability engineering; Power (physics); Production (economics); Electrical engineering; Economics","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":[0.001539479,0.0002219127,0.0002642338,0.00005792564,0.0006140321,0.00004389204,0.0004464338,0.00004798279,0.00004312147],"category_scores_gemma":[0.00001312751,0.0001220359,0.00004861045,0.0002710312,0.0025934,0.0002745195,0.002368036,0.00009632076,0.000008446042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657816,"about_ca_system_score_gemma":0.00001831998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003452386,"about_ca_topic_score_gemma":0.000004590679,"domain_scores_codex":[0.9974851,0.00007866784,0.0003584214,0.0004767604,0.0009763179,0.0006247088],"domain_scores_gemma":[0.9991294,0.00002769929,0.000157968,0.0005769199,0.000007129537,0.0001009043],"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":[0.00006387811,0.000088075,0.0005232802,0.00008265294,0.00004848781,0.000006689773,0.003893876,0.4176418,0.5717424,0.005524265,0.00007040093,0.0003142726],"study_design_scores_gemma":[0.001220072,0.001125379,0.05846151,0.0001022852,0.0002134344,0.00007344736,0.0112162,0.07455216,0.8413433,0.009022246,0.001804876,0.0008651089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943233,0.0002666558,0.00002863791,0.0008149476,0.00009799801,0.000455691,0.00001469663,0.00001797196,0.003980147],"genre_scores_gemma":[0.9955129,0.0001337748,0.0001076762,0.00000916072,0.0000135801,0.00004429955,0.000001245587,0.00001607166,0.004161261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430896,"threshold_uncertainty_score":0.9555492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009350202975265134,"score_gpt":0.1912650433439532,"score_spread":0.181914840368688,"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."}}