{"id":"W7051964907","doi":"","title":"Proceeding 6th International Conference on Operations and Supply Chain Management (AN INTEGRATED MODELING OF HUMAN, MACHINE, AND ENVIRONMENTAL ASPECTS IN SUPPLY CHAIN PLANNING AND OPERATIONS USING FUZZY LOGIC
\\n )","year":2014,"lang":"en","type":"article","venue":"UAJY Repository (University of Southampton)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Katolik Parahyangan; Institut Teknologi Bandung; Institut Teknologi Sepuluh Nopember; Universitas Tadulako; Cranfield University; University of Tehran; International Islamic University Malaysia; Universitas Kristen Petra; University of Johannesburg; Aoyama Gakuin University; King Mongkut's University of Technology Thonburi; Universiti Sains Malaysia; University of Greenwich; Waseda University; Chalmers Tekniska Högskola; Chongqing University; Swinburne University of Technology; University of Cyprus; University of Technology Sydney; Nanyang Technological University; Universitas Muhammadiyah Surakarta; Victoria University; University of Toronto; Université de Sherbrooke; RMIT University; Teknologian Tutkimuskeskus VTT; Mahidol University; Universitas Surabaya; Lappeenranta University of Technology; Johns Hopkins University","keywords":"Supply chain; Vagueness; Fuzzy logic; Supply chain management; Supply chain risk management; Process (computing); Procurement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008387258,0.0001111812,0.0001374559,0.0001601288,0.0002024739,0.00004163288,0.0000940717,0.00004780484,0.000006236475],"category_scores_gemma":[0.000003384121,0.0001356899,0.00001336772,0.00005885709,0.00007935638,0.000180713,0.00006758469,0.0001112857,2.55889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004012111,"about_ca_system_score_gemma":0.00000682463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003716845,"about_ca_topic_score_gemma":0.0001678101,"domain_scores_codex":[0.9994588,0.0000157985,0.00013812,0.0001962913,0.00009480749,0.00009610756],"domain_scores_gemma":[0.9997929,0.00001582479,0.00002865992,0.00008263098,0.00002136713,0.00005860432],"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":[0.00001701671,0.000118388,0.03660772,0.00006235108,0.00007297388,0.00001092586,0.006899742,0.8586676,0.06548779,0.03159109,0.000003343937,0.0004611074],"study_design_scores_gemma":[0.000418389,0.00004351845,0.006748576,0.0001213024,0.00002327699,0.000007917527,0.009071879,0.9824439,0.000746779,0.0002428156,0.000004110884,0.0001275041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841821,0.00002665732,0.01369653,0.00004016738,0.00002579705,0.000176556,0.00006355772,0.00002313987,0.001765448],"genre_scores_gemma":[0.9961113,0.00004136654,0.003692067,0.000005476536,0.00001318179,0.000001849997,0.00009007125,0.000008900663,0.00003577845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237764,"threshold_uncertainty_score":0.5533272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630681198507769,"score_gpt":0.2070391937585915,"score_spread":0.1907323817735138,"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."}}