{"id":"W2057403654","doi":"10.1007/s10726-014-9417-3","title":"Numerical Methods to Calculate Fuzzy Boundaries for Brownfield Redevelopment Negotiations","year":2014,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Brownfield; Negotiation; Computer science; Fuzzy logic; Redevelopment; Operations research; Mathematics; Civil engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004407305,0.0005715191,0.0009308432,0.002358573,0.001296971,0.002198661,0.001742431,0.001570586,0.008754843],"category_scores_gemma":[0.02661535,0.0006137523,0.000665428,0.001501477,0.0009880908,0.002249168,0.001720935,0.002158728,0.001006486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454768,"about_ca_system_score_gemma":0.001578208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007495369,"about_ca_topic_score_gemma":0.005591231,"domain_scores_codex":[0.9987922,0.0005276273,0.00008170878,0.0001129993,0.0004077522,0.00007769866],"domain_scores_gemma":[0.9912257,0.006515968,0.0003775863,0.0004599498,0.001179952,0.000240889],"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":[0.0001580441,0.0001105708,0.0008295579,0.000142103,0.00002771209,0.00008452118,0.0003397004,0.7424068,0.00224481,0.09910384,0.002334533,0.1522178],"study_design_scores_gemma":[0.0000116683,0.000007893514,0.00006638317,0.00001717587,0.000003147105,0.00001163383,0.00002334791,0.9807011,0.0005866676,0.01779523,0.0007682099,0.000007619384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00707682,0.0000879297,0.9897118,0.00006805854,0.00004159637,0.00004845747,0.00003534435,0.0002538278,0.002676218],"genre_scores_gemma":[0.2136034,0.0001046663,0.7831517,0.0000543736,0.00002719379,0.0002277885,0.000114324,0.0002299739,0.002486439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008754843,"threshold_uncertainty_score":0.02928787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07995154632963253,"score_gpt":0.2892740485479583,"score_spread":0.2093225022183258,"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."}}