{"id":"W2006681270","doi":"10.1016/j.cities.2012.05.015","title":"Can cities become self-reliant in energy? A technological scenario analysis for Cleveland, Ohio","year":2012,"lang":"en","type":"article","venue":"Cities","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ohio Agricultural Research and Development Center, Ohio State University; Ohio State University","keywords":"Renewable energy; Offshore wind power; Wind power; Productivity; Electricity generation; Environmental science; Energy development; Agricultural economics; Quarter (Canadian coin); Environmental engineering; Natural resource economics; Business; Power (physics); Engineering; Geography; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872765,0.0005777359,0.0003726485,0.001022089,0.001896023,0.003111183,0.001020878,0.002016655,0.004168347],"category_scores_gemma":[0.001796881,0.0003303347,0.001054234,0.002271036,0.0008142812,0.002673367,0.00138203,0.001298819,0.0001325059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007650977,"about_ca_system_score_gemma":0.002656361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2396282,"about_ca_topic_score_gemma":0.4295547,"domain_scores_codex":[0.9994023,0.0002507446,0.0000139755,0.00005158148,0.0000597994,0.0002216731],"domain_scores_gemma":[0.9991413,0.0003178572,0.0001297202,0.00003791321,0.0001293365,0.000243843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001278329,0.001332717,0.170899,0.0002752615,0.0006569126,0.006928215,0.001899934,0.5805393,0.002204844,0.1735899,0.03601912,0.0243764],"study_design_scores_gemma":[0.0005088307,0.001378241,0.2066167,0.000160982,0.0008757715,0.0007570126,0.03099449,0.6561995,0.001382646,0.05261113,0.04817626,0.0003384486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720561,0.0003562006,0.001110081,0.004237944,0.00003886731,0.00008809566,0.00206533,0.0000192236,0.02002821],"genre_scores_gemma":[0.9975557,0.000239699,0.0003426043,0.00009640226,0.000007679517,0.00003670067,0.0004049176,0.000004721774,0.001311383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2396282,"threshold_uncertainty_score":0.4764669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956991823115433,"score_gpt":0.2143155636328447,"score_spread":0.1947456454016903,"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."}}