{"id":"W3196990262","doi":"10.1007/s11356-021-14690-z","title":"The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach","year":2021,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Transport Canada","funders":"","keywords":"Fuzzy logic; Reliability (semiconductor); Agile software development; Flexibility (engineering); Supply chain; Computer science; Operations research; Supply chain management; Field (mathematics); Agile manufacturing; Selection (genetic algorithm); Risk analysis (engineering); Reliability engineering; Engineering; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.03522248,0.0001630047,0.0001858744,0.0002986619,0.006302384,0.001737609,0.001935529,0.00008733714,0.0008335138],"category_scores_gemma":[0.01087978,0.00008466178,0.00009497617,0.002212059,0.002753858,0.0006359143,0.001408854,0.0004985094,0.0001297566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152864,"about_ca_system_score_gemma":0.0006372653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003926977,"about_ca_topic_score_gemma":0.0001462567,"domain_scores_codex":[0.9875722,0.0005856203,0.0006304435,0.001063271,0.009261411,0.0008870479],"domain_scores_gemma":[0.9911845,0.007268326,0.000135645,0.0007323496,0.0003712327,0.0003079462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009773501,0.00009995492,0.001464346,0.000003759531,0.000009125778,0.000008236897,0.0004151779,0.0001689142,0.005413026,0.001827551,0.008844985,0.9816472],"study_design_scores_gemma":[0.001033978,0.0001937281,0.07452126,0.00009012975,0.00001523207,0.0004960815,0.01147245,0.2558915,0.002177313,0.08287182,0.5708213,0.0004151453],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8445501,0.004022433,0.1110991,0.02855771,0.001441543,0.003408129,0.0001891558,0.00007113676,0.006660755],"genre_scores_gemma":[0.9930059,0.0001966968,0.004667579,0.0005567863,0.0002353905,0.0001492868,0.000002506635,0.00001250954,0.001173342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.981232,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157744032526885,"score_gpt":0.4412294163204686,"score_spread":0.3254550130677801,"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."}}