{"id":"W2980294816","doi":"10.1109/fuzz-ieee.2019.8858797","title":"Consensus Building in Group Decision-Making for the Risk Assessment of Wind Farm Projects","year":2019,"lang":"en","type":"article","venue":"","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Analytic hierarchy process; Group decision-making; Wind power; Context (archaeology); Risk analysis (engineering); Work (physics); Fuzzy set; Quality (philosophy); Computer science; Engineering; Operations research; Fuzzy logic; Business; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0128277,0.000249402,0.000625876,0.0007314934,0.0001939691,0.0004255484,0.001522208,0.0001289604,0.0007032845],"category_scores_gemma":[0.01469297,0.0001386848,0.0002706666,0.001299952,0.0001081664,0.0001943441,0.000548211,0.0002808248,0.0000500462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046632,"about_ca_system_score_gemma":0.0001640641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072567,"about_ca_topic_score_gemma":0.0003152776,"domain_scores_codex":[0.9943861,0.0003865607,0.001678461,0.0008949561,0.002182568,0.000471326],"domain_scores_gemma":[0.9466052,0.05061822,0.0008171329,0.001362464,0.0005346075,0.00006236687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003308463,0.0001807323,0.3712406,0.0000175263,0.00004668296,0.00001160204,0.0007188866,0.01112732,0.00580343,0.01827178,0.001196314,0.5910542],"study_design_scores_gemma":[0.002396154,0.0001995034,0.3361245,0.0003155421,0.00002604944,0.00001764001,0.004708516,0.5936387,0.0002399193,0.05372142,0.008252297,0.0003597926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7917398,0.00009186852,0.2024252,0.0001503312,0.001073286,0.001601729,0.00002714543,0.00002467181,0.002866015],"genre_scores_gemma":[0.8056146,0.000006571277,0.1939633,0.0001430292,0.00004703572,0.00002357876,3.948762e-7,0.00002069585,0.0001807542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5906944,"threshold_uncertainty_score":0.9936067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175565158638529,"score_gpt":0.4675688542814553,"score_spread":0.3500123384176024,"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."}}