{"id":"W2120193275","doi":"10.18757/ejtir.2010.10.1.2864","title":"Cost Overruns in Large-scale Transportation Infrastructure Projects: Explanations and Their Theoretical Embeddedness","year":2010,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Embeddedness; Politics; Misinformation; Agency (philosophy); Scale (ratio); Prospect theory; Economics; Economies of scale; Positive economics; Microeconomics; Sociology; Political science; Computer science; Social science; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007461893,0.0002024482,0.0003508785,0.001135297,0.0002822976,0.0002193468,0.0005678263,0.00008829174,0.0009590699],"category_scores_gemma":[0.0002522531,0.0001305388,0.00008899268,0.001089862,0.0007081295,0.0007988365,0.00003719932,0.001629949,0.000003901141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001741475,"about_ca_system_score_gemma":0.0001506508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005068178,"about_ca_topic_score_gemma":0.0003058674,"domain_scores_codex":[0.9967484,0.0004292123,0.0009798418,0.0003585669,0.001084829,0.0003991557],"domain_scores_gemma":[0.9983206,0.0003192565,0.000252975,0.0002818701,0.0005983941,0.0002269477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005183178,0.00006917394,0.7704579,0.00005793212,0.00004460689,0.0001519624,0.03047985,0.0001918815,0.002344601,0.01849013,0.001923603,0.17527],"study_design_scores_gemma":[0.001312353,0.0001609252,0.9329033,0.00004892603,0.00001094152,0.0001371436,0.01073243,0.0007731561,0.0001680809,0.01092977,0.04265805,0.0001649141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897037,0.00008207254,0.00394425,0.0005908359,0.0004427847,0.0002972673,0.00007330099,0.00001064372,0.004855165],"genre_scores_gemma":[0.9978886,0.0002564033,0.001455764,0.00006514558,0.0002238241,0.000002686014,0.00001530742,0.00001916979,0.00007305146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751051,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05778493830965763,"score_gpt":0.3677913978553716,"score_spread":0.3100064595457139,"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."}}