{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04283648,0.0001211259,0.000387628,0.005575941,0.0003660439,0.0008104101,0.001278433,0.00004146248,0.000009210808],"category_scores_gemma":[0.01576694,0.00009229561,0.00009101049,0.006334031,0.0001409147,0.001023935,0.0006769718,0.000262554,0.000004571173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407619,"about_ca_system_score_gemma":0.00009226739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430356,"about_ca_topic_score_gemma":0.00001704838,"domain_scores_codex":[0.9944752,0.0001350257,0.001197826,0.0004399754,0.003241143,0.0005108399],"domain_scores_gemma":[0.9852967,0.01267815,0.000732545,0.0003931644,0.0007522735,0.0001471986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005384325,0.0007681983,0.05853005,0.001349286,0.0002079984,0.0004089011,0.01515399,0.2385381,0.1171964,0.3328922,0.003136035,0.2312805],"study_design_scores_gemma":[0.001113524,0.0002818103,0.0568652,0.001939571,0.00002177304,0.00005983394,0.04342363,0.8311036,0.0002950503,0.05510458,0.009489511,0.0003019276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1750169,0.0002007187,0.8237609,0.00009786501,0.000235258,0.0005021963,0.000002912643,0.00001239809,0.0001709089],"genre_scores_gemma":[0.8114891,0.00004384357,0.1883423,0.000002329866,0.00003382978,0.00001674598,6.513746e-8,0.00001072232,0.00006104247],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6364722,"threshold_uncertainty_score":0.9925237,"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."}}