{"id":"W2318705081","doi":"10.1061/9780784413029.068","title":"Spatio-Temporal Progress Estimation for Highway Construction","year":2013,"lang":"en","type":"article","venue":"Computing in Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Global Positioning System; Scheduling (production processes); Track (disk drive); Transport engineering; Project management; Operations research; Systems engineering; Engineering; Telecommunications; Operations management","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":[0.0009347087,0.0007613809,0.0004161022,0.003321394,0.0003426113,0.0006484981,0.0005561657,0.0003798411,0.001709683],"category_scores_gemma":[0.003455078,0.000383986,0.0005123851,0.002502555,0.0002693841,0.0009325871,0.0007381109,0.0004243738,0.0006629889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006061416,"about_ca_system_score_gemma":0.0008209371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471332,"about_ca_topic_score_gemma":0.0138708,"domain_scores_codex":[0.9995396,0.00008293517,0.00003679724,0.0001286954,0.0001774803,0.00003457961],"domain_scores_gemma":[0.9988544,0.0003313932,0.0002968587,0.0001266221,0.0003263459,0.00006436215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000182314,0.00008287249,0.02683199,0.0001525158,0.00007549858,0.0001409117,0.0001605569,0.8116319,0.005239052,0.00556675,0.001562753,0.1483729],"study_design_scores_gemma":[0.000002914921,0.0000196423,0.003574034,0.000007673644,0.00001064332,0.0000297709,0.00003890982,0.9931275,0.001162926,0.0009550356,0.001062025,0.000009058568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1310124,0.0004088395,0.8611797,0.0001267321,0.00003603988,0.0001033902,0.001783058,0.002482148,0.002867757],"genre_scores_gemma":[0.8165205,0.0003902763,0.1788936,0.00001097101,0.00002815491,0.0001317881,0.002133226,0.00009737182,0.001794101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01471332,"threshold_uncertainty_score":0.02925533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007240007372470643,"score_gpt":0.2043342078940571,"score_spread":0.1970942005215865,"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."}}