{"id":"W2346222113","doi":"10.7492/ijaec.2016.003","title":"Modeling Infrastructure Bridges Maintenance Work Zones","year":2016,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Construction engineering; Bridge (graph theory); Computer science; Geology; Business; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007426649,0.0001404177,0.0001386082,0.000267774,0.00002415917,0.00004806203,0.0001324943,0.00007556594,0.00002325421],"category_scores_gemma":[0.00005146801,0.00009701072,0.00006970834,0.00008392659,0.00004878671,0.0002051448,0.00001475526,0.0002078518,0.000001449183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007479178,"about_ca_system_score_gemma":0.00001700347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000156273,"about_ca_topic_score_gemma":0.000001149644,"domain_scores_codex":[0.9992517,0.000009119728,0.0003126489,0.00009141916,0.0002130504,0.0001220527],"domain_scores_gemma":[0.9995743,0.00003683165,0.00006275248,0.00006275222,0.0001962961,0.00006707469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005193906,0.00000297332,0.001099273,0.00001237311,0.0001191718,0.000009514061,0.0001253165,0.4203911,0.006945154,0.004725372,0.0000921454,0.5664257],"study_design_scores_gemma":[0.009792081,0.0004924119,0.03424564,0.005301205,0.0003287536,0.04363972,0.001352693,0.7418187,0.02973655,0.05330621,0.07687531,0.003110764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4459016,0.0002834226,0.5509304,0.0003654012,0.002364923,0.00002118023,0.000005264676,0.00006463882,0.00006316295],"genre_scores_gemma":[0.9820528,0.0002888913,0.01695202,0.00001509849,0.0006553407,0.000001893275,9.316544e-7,0.00001727442,0.00001576798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5633149,"threshold_uncertainty_score":0.3955982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002788475860728361,"score_gpt":0.1728113365859903,"score_spread":0.1700228607252619,"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."}}