{"id":"W4383345345","doi":"10.30564/jmser.v6i2.5634","title":"Understanding Applications and Best Practices of DEMATEL: A Method for Prioritizing Key Factors in Multi-Criteria Decision-Making","year":2023,"lang":"en","type":"article","venue":"Journal of Management Science & Engineering research","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Interdependence; Computer science; Key (lock); Process (computing); Management science; Process management; Risk analysis (engineering); Influence diagram; Order (exchange); Supply chain; Knowledge management; Decision tree; Artificial intelligence; Engineering; Business","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":[0.06858235,0.002845044,0.002374812,0.00860507,0.002549856,0.008278798,0.003592292,0.002726826,0.01207724],"category_scores_gemma":[0.1295513,0.001540779,0.003087409,0.006626209,0.003942228,0.006803129,0.005430895,0.00484398,0.002222609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005321026,"about_ca_system_score_gemma":0.01136322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004277511,"about_ca_topic_score_gemma":0.007103276,"domain_scores_codex":[0.939773,0.04723904,0.002986134,0.002210968,0.007194437,0.0005964778],"domain_scores_gemma":[0.8897138,0.09276938,0.003838141,0.005379712,0.00757315,0.0007257817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003243909,0.0004419544,0.002771665,0.004331453,0.0005489155,0.0003678944,0.008556304,0.08354869,0.002445279,0.324325,0.01995722,0.5523812],"study_design_scores_gemma":[0.0006170779,0.0003073782,0.001128107,0.003749265,0.0002775266,0.0004879961,0.00230222,0.3317046,0.005674392,0.5457889,0.1075845,0.0003780342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002628518,0.0005023354,0.9871115,0.001372769,0.00007385723,0.0009297405,0.0003348168,0.0008282225,0.006218255],"genre_scores_gemma":[0.01228852,0.0002088927,0.9856834,0.0001185916,0.0000114461,0.00108769,0.0001123267,0.0001015019,0.0003875624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06858235,"threshold_uncertainty_score":0.3627025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6426668290918216,"score_gpt":0.5921940883613107,"score_spread":0.05047274073051089,"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."}}