{"id":"W4293762782","doi":"10.24928/2022/0206","title":"LPS Performance Diagnosis Model Using Fuzzy Inference System","year":2022,"lang":"en","type":"article","venue":"Annual Conference of the International Group for Lean Construction","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fuzzy inference system; Inference; Fuzzy inference; Artificial intelligence; Fuzzy logic; Adaptive neuro fuzzy inference system; Fuzzy control system; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0002139741,0.0001154253,0.0001591629,0.0001046339,0.000235419,0.00002228467,0.0005365097,0.00008095118,0.00001729532],"category_scores_gemma":[0.00004514335,0.0001071974,0.00009091595,0.0001197424,0.0000922801,0.0002199045,0.0001208604,0.0002402906,0.000001212677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374701,"about_ca_system_score_gemma":0.0000580018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004502561,"about_ca_topic_score_gemma":0.000008971984,"domain_scores_codex":[0.9991326,0.00002049778,0.0003100378,0.0001416541,0.0002490264,0.0001461369],"domain_scores_gemma":[0.9993981,0.0000529536,0.000151793,0.0001713207,0.0002076785,0.00001813576],"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":[0.0001403147,0.00003241134,0.01020982,0.00012426,0.0002301402,6.895518e-7,0.0004733886,0.6731994,0.005380736,0.2825495,0.000354659,0.02730465],"study_design_scores_gemma":[0.00054595,0.00006698107,0.0001277683,0.00008887448,0.00003547916,0.00005483311,0.002231955,0.9877568,0.005175195,0.00279433,0.0009607611,0.0001611114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819897,0.00002102901,0.01278322,0.000113122,0.002853795,0.0003252392,0.0002746141,0.0001367936,0.00150245],"genre_scores_gemma":[0.9990345,0.000005902208,0.0005612315,0.00001322384,0.0001062683,0.0001825975,0.00001279783,0.0000131607,0.00007033596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3145574,"threshold_uncertainty_score":0.4371383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937833594928119,"score_gpt":0.2272504352913244,"score_spread":0.1978720993420432,"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."}}