{"id":"W2012136844","doi":"10.1139/l04-073","title":"Construction prequalification using data envelopment analysis","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data envelopment analysis; Envelopment; Process (computing); Engineering; Key (lock); Operations management; Computer science; Operations research; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.007931347,0.001202969,0.001407798,0.004658881,0.0007391386,0.002770652,0.0008504579,0.0006110962,0.003469492],"category_scores_gemma":[0.01544294,0.0004313666,0.00164406,0.006018025,0.0006769039,0.002065136,0.002214779,0.001322806,0.0007526983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003218627,"about_ca_system_score_gemma":0.004105213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116482,"about_ca_topic_score_gemma":0.007988634,"domain_scores_codex":[0.993108,0.002828266,0.0005717481,0.0004434694,0.002735922,0.000312521],"domain_scores_gemma":[0.9946777,0.002910917,0.0004367812,0.0005755774,0.001333929,0.00006502583],"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":[0.0001146561,0.0002450047,0.006580419,0.0005805818,0.0001511358,0.0001728337,0.0007894898,0.4779069,0.003346952,0.07228094,0.002530111,0.435301],"study_design_scores_gemma":[0.00003395192,0.0002289146,0.005696991,0.0002201853,0.00004706889,0.00009910115,0.0005058074,0.9221613,0.008028308,0.04625207,0.01664209,0.00008416294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02178406,0.0002755022,0.9698359,0.0001485792,0.00001262149,0.000592713,0.0003190099,0.0001701506,0.006861613],"genre_scores_gemma":[0.2839903,0.001133511,0.7091901,0.00005561577,0.00001653141,0.001210482,0.001311386,0.00008308748,0.003008971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0116482,"threshold_uncertainty_score":0.04194552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030891430529928,"score_gpt":0.3335333906077694,"score_spread":0.2304442475547767,"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."}}