{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009926888,0.0003663003,0.000165965,0.000769949,0.002293054,0.004235793,0.0006614033,0.00138557,0.009018954],"category_scores_gemma":[0.001466449,0.0001931721,0.0003261521,0.0008862055,0.0006156042,0.002036844,0.003065601,0.001248243,0.0009392228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003431075,"about_ca_system_score_gemma":0.009744521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05797,"about_ca_topic_score_gemma":0.1652756,"domain_scores_codex":[0.9992546,0.0001607835,0.00001797428,0.00003788137,0.0003849757,0.0001436635],"domain_scores_gemma":[0.9994288,0.0001102843,0.00004046889,0.00002286331,0.0002676414,0.0001299255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002126325,0.000193563,0.04101127,0.001312387,0.0001012157,0.005097119,0.006477142,0.01990308,0.004760112,0.254864,0.3949273,0.2711401],"study_design_scores_gemma":[0.00002345519,0.0001575511,0.03494046,0.0005104025,0.00002590428,0.0005019846,0.01431921,0.009246047,0.001391805,0.0285876,0.9102342,0.00006134951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1959678,0.007979499,0.004755706,0.09279079,0.0008447597,0.0003933123,0.002608976,0.0002698994,0.6943893],"genre_scores_gemma":[0.8091314,0.01221193,0.01208846,0.005068279,0.0004445321,0.0005014683,0.002550644,0.00007223227,0.157931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.94203,"threshold_uncertainty_score":0.1152651,"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."}}