{"id":"W4362717221","doi":"10.2172/1968585","title":"Great Lakes Wind Energy Challenges and Opportunities Assessment","year":2023,"lang":"en","type":"report","venue":"","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Bat Conservation International; Independent Electricity System Operator; Ohio State University; U.S. Fish and Wildlife Service; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy; Great Lakes Fishery Commission; Ohio Sea Grant College, Ohio State University; Wind Energy Technologies Office; National Oceanic and Atmospheric Administration; New York State Energy Research and Development Authority; Office of Energy Efficiency; National Aeronautics and Space Administration","keywords":"Renewable energy; Offshore wind power; Wind power; Stakeholder; Business; Environmental economics; Environmental resource management; Environmental planning; Environmental science; Engineering; Political science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001105801,0.0002309588,0.0005018418,0.0001381243,0.0003249714,0.0001582264,0.0001959006,0.0004430261,0.001294543],"category_scores_gemma":[0.0001115118,0.0002000791,0.0001196654,0.00003741202,0.0005334066,0.0001514095,0.0001039116,0.0001811105,0.00002498034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219424,"about_ca_system_score_gemma":0.002782804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00895342,"about_ca_topic_score_gemma":0.01398515,"domain_scores_codex":[0.9979299,0.0001720722,0.0003271251,0.0003934309,0.0006727888,0.0005047203],"domain_scores_gemma":[0.9987965,0.00034905,0.0001156165,0.000216899,0.0001471432,0.0003747743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.602194e-7,0.00001122124,0.00004073562,0.00007011997,0.00006970842,0.00005358561,0.0008115419,5.567809e-8,3.1599e-8,0.8841619,0.02327223,0.09150844],"study_design_scores_gemma":[0.00005042341,0.00002697375,0.001143421,0.00006379667,0.00003949348,0.000003808524,0.007840765,0.000002527234,3.089848e-7,0.01840621,0.9721667,0.0002556189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001476652,0.004761413,0.00000494016,0.0133386,0.0009548331,0.00009899625,0.00002240991,0.000200614,0.9804705],"genre_scores_gemma":[0.01991591,0.4251356,0.00002794776,0.0002846773,0.001329515,0.00003218346,0.00003623664,0.00003396649,0.5532039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9488944,"threshold_uncertainty_score":0.9996184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3203826033364147,"score_gpt":0.4052461876329562,"score_spread":0.08486358429654145,"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."}}