{"id":"W3027453393","doi":"10.1108/ijopm-03-2019-0192","title":"Mitigating sustainability risk in supplier populations: an agent-based simulation study","year":2020,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Ottawa","funders":"","keywords":"Sustainability; Population; Business; Dyad; Originality; Environmental economics; Risk management; Marketing; Environmental resource management; Industrial organization; Economics; Qualitative research; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001670212,0.0002397874,0.0002473445,0.001163457,0.0002624674,0.0006983896,0.0006210693,0.00004035378,0.0002290265],"category_scores_gemma":[0.001108378,0.0002461172,0.0001130622,0.001002545,0.00004470385,0.003309384,0.0002121916,0.0002891128,0.00002899602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005925166,"about_ca_system_score_gemma":0.00006926203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003574276,"about_ca_topic_score_gemma":0.0002859078,"domain_scores_codex":[0.996946,0.0001407887,0.001138475,0.0004918495,0.001029184,0.000253642],"domain_scores_gemma":[0.9970345,0.00002979821,0.0005646073,0.0003218116,0.002009036,0.00004023136],"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":[0.0001792169,0.000961304,0.09632546,0.00006398452,0.000111899,0.00009080032,0.0005903604,0.8861738,0.00001357937,0.00344553,0.000405202,0.01163888],"study_design_scores_gemma":[0.003864211,0.0002117508,0.1798745,0.00006592751,0.0003308399,0.000003184577,0.03843263,0.7524495,0.00003189657,0.005161897,0.01902538,0.0005482931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194906,0.00002800448,0.05605263,0.02001727,0.001654517,0.002206532,0.000003682311,0.00009710302,0.0004496305],"genre_scores_gemma":[0.9921046,0.00000465075,0.004389865,0.001261108,0.001964483,0.00008023048,0.00006296712,0.00003361849,0.00009845335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337243,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352452446772639,"score_gpt":0.3148881255335619,"score_spread":0.2813636010658355,"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."}}