{"id":"W2074391778","doi":"10.4018/ijfsa.2013070104","title":"Integrating Modified Delphi with Fuzzy AHP for Concrete Production Facility Location Selection","year":2013,"lang":"en","type":"article","venue":"International Journal of Fuzzy System Applications","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Analytic hierarchy process; Facility location problem; Selection (genetic algorithm); Production (economics); Fuzzy logic; Delphi method; Delphi; Computer science; Operations research; Sensitivity (control systems); Site selection; Process (computing); Engineering; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.003477631,0.0002320403,0.0004219551,0.0007709223,0.0002926069,0.0008021567,0.001261695,0.0001178659,0.00005583614],"category_scores_gemma":[0.002461678,0.0001663201,0.0001898459,0.0008946334,0.00009811443,0.001359252,0.00007142627,0.000249048,0.0001887004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005233363,"about_ca_system_score_gemma":0.0002864991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009252142,"about_ca_topic_score_gemma":0.00003776766,"domain_scores_codex":[0.9946898,0.0002452645,0.002053833,0.0005515967,0.002222269,0.0002372596],"domain_scores_gemma":[0.9817778,0.001107775,0.002196416,0.0004774742,0.01427401,0.0001665437],"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":[0.002031662,0.0004538729,0.01553098,0.0002714641,0.001314715,0.00001174328,0.005195922,0.07058968,0.1400752,0.1173053,0.03526197,0.6119575],"study_design_scores_gemma":[0.01723161,0.00255573,0.06057063,0.003686906,0.0008164744,0.008934341,0.0781337,0.4591281,0.03585437,0.2144568,0.1143235,0.004307731],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327387,0.00007534651,0.8608627,0.00211224,0.001099676,0.001709286,0.00005726341,0.00006607915,0.001278616],"genre_scores_gemma":[0.9628883,0.000003712815,0.03521146,0.00006719583,0.0008439026,0.0006298948,0.00002279347,0.00001864739,0.0003140758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8301496,"threshold_uncertainty_score":0.7735216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09303836793593682,"score_gpt":0.3848871948451194,"score_spread":0.2918488269091825,"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."}}