{"id":"W1993849568","doi":"10.1061/(asce)la.1943-4170.0000034","title":"Considering Attitudes in Strategic Negotiation over Brownfield Disputes","year":2010,"lang":"en","type":"article","venue":"Journal of Legal Affairs and Dispute Resolution in Engineering and Construction","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Brownfield; Negotiation; Computer science; Order (exchange); Process (computing); Management science; Process management; Negotiation theory; Conflict resolution; Decision support system; Operations research; Risk analysis (engineering); Knowledge management; Business; Engineering; Artificial intelligence; Political science; Civil engineering; Law","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":[0.01505031,0.0005395986,0.0003940991,0.002194286,0.001812956,0.00449429,0.001203009,0.00146231,0.002672602],"category_scores_gemma":[0.03513679,0.0003784584,0.000675509,0.001876561,0.004172538,0.006812047,0.002574687,0.001459908,0.0002373038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213389,"about_ca_system_score_gemma":0.001591421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911146,"about_ca_topic_score_gemma":0.00208512,"domain_scores_codex":[0.9855402,0.01154516,0.0004873124,0.0005038461,0.001471334,0.0004519911],"domain_scores_gemma":[0.974224,0.02150922,0.001757438,0.0005542171,0.001450368,0.0005048038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003655136,0.0002386385,0.008430991,0.0003841085,0.00009965558,0.0008866099,0.02765404,0.07002461,0.004596826,0.7265097,0.00098688,0.1598224],"study_design_scores_gemma":[0.0001112436,0.0002985422,0.004826302,0.0001989298,0.00009942891,0.0003705985,0.02785737,0.3884964,0.004177331,0.5592921,0.01410233,0.0001694755],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2662069,0.0003009254,0.7034101,0.001334614,0.000100909,0.0003560059,0.00002688121,0.00009048232,0.0281731],"genre_scores_gemma":[0.8911769,0.0001351215,0.1072016,0.00007507495,0.0000202068,0.000153322,0.00002192646,0.00001460361,0.001201337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01505031,"threshold_uncertainty_score":0.07959455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124160205001813,"score_gpt":0.2805425876577525,"score_spread":0.2593009856077344,"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."}}