{"id":"W3148401048","doi":"10.18757/ejtir.2010.10.1.2866","title":"Managing Optimism Biases in the Delivery of Large-Infrastructure Projects: A Corporate Performance Benchmarking Approach","year":2010,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmarking; Optimism; Incentive; Optimism bias; Procurement; Business; Government (linguistics); Dissemination; Quality (philosophy); Marketing; Environmental economics; Economics; Engineering","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":[0.08772905,0.00076488,0.001267819,0.005725399,0.002651073,0.008872726,0.002249033,0.002205162,0.0009763927],"category_scores_gemma":[0.1676926,0.0005009249,0.0005224516,0.007636982,0.003475711,0.00540887,0.004841169,0.002130276,0.0001391544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008133267,"about_ca_system_score_gemma":0.009274368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005705469,"about_ca_topic_score_gemma":0.006160852,"domain_scores_codex":[0.9123968,0.07121769,0.002648589,0.002527181,0.008915407,0.002294346],"domain_scores_gemma":[0.8047148,0.1290356,0.0337691,0.008891449,0.01997315,0.003615888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005911806,0.001127333,0.1638101,0.0009491419,0.0007216381,0.0003495481,0.02096383,0.0989706,0.001482103,0.1246423,0.004443815,0.5819483],"study_design_scores_gemma":[0.0003671259,0.002759922,0.2404286,0.002515683,0.00065394,0.0004123887,0.04890738,0.3766558,0.006292949,0.2914289,0.02900033,0.0005770389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6469415,0.004705394,0.2641562,0.02579052,0.0002774117,0.0009719232,0.0002274016,0.0002477131,0.05668189],"genre_scores_gemma":[0.9787318,0.0004395604,0.01997367,0.0001824632,0.00006171759,0.0001424792,0.0000347077,0.00001308289,0.0004204816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08772905,"threshold_uncertainty_score":0.4639611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06638912293963443,"score_gpt":0.2846179520455093,"score_spread":0.2182288291058748,"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."}}