{"id":"W4413929974","doi":"10.1016/j.mfglet.2025.06.187","title":"A Fuzzy Data-Driven framework for Enhanced risk management Decision-Making in Manufacturing: A Case study","year":2025,"lang":"en","type":"article","venue":"Manufacturing Letters","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fuzzy logic; Computer science; Risk management; Artificial intelligence; 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":[0.004147802,0.0007138457,0.0006264386,0.001643329,0.001253547,0.002706837,0.001186795,0.001850651,0.001811178],"category_scores_gemma":[0.004325649,0.0003078757,0.0010863,0.001497974,0.001049668,0.001326675,0.001343201,0.001161768,0.0001653027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229577,"about_ca_system_score_gemma":0.002283899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009143751,"about_ca_topic_score_gemma":0.01168076,"domain_scores_codex":[0.9981687,0.001005364,0.0001159759,0.0001497717,0.0004311383,0.0001290555],"domain_scores_gemma":[0.9969722,0.002202064,0.0001337682,0.0001330315,0.0004319986,0.0001268272],"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":[0.0003765472,0.0005634765,0.005584811,0.000521656,0.0001262048,0.002799915,0.001814913,0.767781,0.006940313,0.08518576,0.002138668,0.1261667],"study_design_scores_gemma":[0.00003183685,0.0001265447,0.0007982584,0.0000926693,0.00003597964,0.0002731191,0.0006022762,0.9733441,0.003042521,0.01686776,0.004737621,0.00004728961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1567101,0.0009082597,0.8305529,0.001332281,0.00006932674,0.0005464539,0.0004073576,0.0002104201,0.009262976],"genre_scores_gemma":[0.5299885,0.0003889841,0.4676882,0.00007043726,0.00002603516,0.0002275886,0.0001445643,0.00001774358,0.001447973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009143751,"threshold_uncertainty_score":0.02193594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09339305322206183,"score_gpt":0.4277141620038086,"score_spread":0.3343211087817468,"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."}}