{"id":"W1979203667","doi":"10.1260/0958-305x.24.5.735","title":"A Methodology for the Evaluation of the Economic Impacts of Wind Energy Projects","year":2013,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Economic feasibility; Investment (military); Multiplier (economics); Economic evaluation; Environmental economics; Economic impact analysis; Economics; Business; Engineering; Operations research; Finance; Civil engineering; Macroeconomics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001727276,0.0001154662,0.0002099801,0.00003526456,0.0002590514,0.00001455322,0.0004613009,0.0001174189,0.0009917995],"category_scores_gemma":[0.0002593099,0.0000748559,0.0001678945,0.0000842377,0.0005030789,0.0001184354,0.00007021795,0.00003665022,0.000002952018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004047549,"about_ca_system_score_gemma":0.0003758799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0843657,"about_ca_topic_score_gemma":0.02154161,"domain_scores_codex":[0.9979072,0.0008495912,0.0002843687,0.0002076768,0.0004727563,0.0002784523],"domain_scores_gemma":[0.9984478,0.000726093,0.0003756696,0.000355474,0.00004505235,0.00004985568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003952314,0.0001138747,0.002656291,0.00001005774,0.0003417804,7.971236e-8,0.006872308,0.1780591,0.01561106,0.1555773,0.002625536,0.6380931],"study_design_scores_gemma":[0.003541443,0.0005055399,0.1444805,0.00007072541,0.0009663128,0.000001758831,0.04608233,0.01839814,0.3167236,0.1586686,0.3095967,0.0009643379],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834964,0.00172055,0.002646995,0.002236942,0.0009455448,0.0007802132,0.00001039609,0.00001527384,0.008147703],"genre_scores_gemma":[0.9970367,0.0005646576,0.000957794,0.0001412488,0.0002900223,0.0002022058,0.000002791136,0.00001313389,0.0007914227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6371288,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07708230020017895,"score_gpt":0.3268946974751863,"score_spread":0.2498123972750074,"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."}}