{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008510828,0.001286965,0.001456609,0.002854773,0.001482938,0.001487675,0.001527685,0.0009815327,0.002894537],"category_scores_gemma":[0.008199887,0.0009974802,0.001575807,0.002441404,0.0007833753,0.001237942,0.002929182,0.001062146,0.0002234743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942837,"about_ca_system_score_gemma":0.003188194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00750273,"about_ca_topic_score_gemma":0.008561577,"domain_scores_codex":[0.9929196,0.004674122,0.0002978572,0.0002927535,0.001434524,0.0003812123],"domain_scores_gemma":[0.9964107,0.002502136,0.0002451505,0.0001518564,0.0005766487,0.0001134918],"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":[0.0002242779,0.0002161154,0.001142237,0.0006659329,0.0002434889,0.0003802538,0.001021221,0.8636515,0.005104602,0.02411071,0.000928936,0.1023108],"study_design_scores_gemma":[0.00003203074,0.0001450359,0.0002619076,0.00004793046,0.00003614398,0.00005934877,0.0002732904,0.9831074,0.00124482,0.01353512,0.001216649,0.00004014755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02569512,0.0001726724,0.9690241,0.0001574155,0.00002859192,0.0007811949,0.00005606798,0.00009012307,0.003994806],"genre_scores_gemma":[0.3439386,0.0002633774,0.6535464,0.00006858793,0.00001962743,0.001102608,0.00007930719,0.00002446875,0.0009569508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008510828,"threshold_uncertainty_score":0.04501009,"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."}}