{"id":"W3205057944","doi":"10.1080/23789689.2021.1980299","title":"A comparison of concrete quantities for highway bridge projects: preconstruction estimates vs onsite records","year":2021,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Schedule; Bridge (graph theory); Cost estimate; Estimation; Transport engineering; Civil engineering; Duration (music); Engineering; Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007258488,0.0003040852,0.0001724959,0.003206747,0.0003271901,0.001037681,0.0006315395,0.0002041342,0.0008313642],"category_scores_gemma":[0.003945768,0.0002619165,0.0002258193,0.00352442,0.0002280587,0.000851915,0.0004955064,0.0002108141,0.0002141389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002753636,"about_ca_system_score_gemma":0.002014727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3830706,"about_ca_topic_score_gemma":0.6963096,"domain_scores_codex":[0.9989551,0.00007167684,0.00006202664,0.0001279961,0.0007174424,0.00006561654],"domain_scores_gemma":[0.9961672,0.0006070663,0.0008192298,0.0003150254,0.002006704,0.00008464637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001124599,0.00005413306,0.8450906,0.0001859023,0.0001362162,0.0001770005,0.001647278,0.02931358,0.004753673,0.001185809,0.001753525,0.1155898],"study_design_scores_gemma":[0.000002157695,0.00004005608,0.9764819,0.00004297103,0.00002538272,0.00008039722,0.001194781,0.009683173,0.002988396,0.0001614566,0.009275142,0.00002424092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753735,0.0002654464,0.009012414,0.00004878688,0.000006118589,0.00004060141,0.006239604,0.0001334106,0.008880062],"genre_scores_gemma":[0.9818896,0.0003375445,0.009066867,0.000008830484,0.000003487576,0.0000332044,0.006023906,0.00004710618,0.002589507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830706,"threshold_uncertainty_score":0.7616819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014319376169757,"score_gpt":0.2608075489353108,"score_spread":0.2506643551736132,"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."}}