{"id":"W2389366180","doi":"","title":"Fuzzy Comprehensive Evaluation on Quality of Engineering Construction","year":2000,"lang":"en","type":"article","venue":"","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Quality (philosophy); Fuzzy logic; Modernization theory; Engineering; Fuzzy mathematics; Foundation (evidence); Construction engineering; Management science; Engineering management; Computer science; Fuzzy set; Systems engineering; Artificial intelligence; Fuzzy number; Geography; Economics","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":[0.0001891692,0.00007446439,0.0001070809,0.0000676729,0.0000159457,0.000007621491,0.00003427036,0.00004354087,0.002499435],"category_scores_gemma":[0.00002072028,0.00007704483,0.00003237013,0.0001275486,0.00001264305,0.00008494666,0.000002036768,0.00005003271,0.00007024902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004266655,"about_ca_system_score_gemma":0.00001076875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004323463,"about_ca_topic_score_gemma":0.000001344207,"domain_scores_codex":[0.9992868,0.00003631684,0.000250014,0.0000816389,0.0002735695,0.00007171812],"domain_scores_gemma":[0.9996372,0.00005056499,0.00002111189,0.0001232106,0.000139588,0.00002825572],"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":[0.000005613294,0.000006679091,0.00003794934,0.00001642075,0.00001155096,2.056311e-8,0.00006052317,0.9720083,0.00173765,0.006860639,0.0001139291,0.0191407],"study_design_scores_gemma":[0.00044015,0.00001375025,0.003936359,0.0000116215,0.000008936417,7.095736e-7,0.00003264607,0.9918422,0.002794677,0.0005531422,0.000270997,0.00009477746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798268,0.00007400976,0.03849962,0.00005148472,0.0002608536,0.0003261379,0.000006697976,0.0003617572,0.1621515],"genre_scores_gemma":[0.9896626,0.00004162495,0.01007298,0.00004460774,0.00002477204,0.00001100407,0.00002197095,0.00001138035,0.0001089901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913947,"threshold_uncertainty_score":0.9984124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05871011271750788,"score_gpt":0.308160873745992,"score_spread":0.2494507610284841,"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."}}