{"id":"W4229025461","doi":"10.1007/s10479-022-04713-4","title":"Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions","year":2022,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Supply chain network; Mathematical optimization; Heuristic; Pareto principle; Supply chain; Pareto optimal; Variable neighborhood search; Operations research; Supply chain management; Metaheuristic; Multi-objective optimization; Artificial intelligence; Machine learning; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.004402989,0.0001313874,0.0002986586,0.0006545311,0.0006754981,0.00003455993,0.0002591099,0.00005938303,0.0007588826],"category_scores_gemma":[0.0002682884,0.0001312666,0.00008947511,0.001328599,0.000144045,0.000182564,0.0003060398,0.0006199148,0.00001015525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866799,"about_ca_system_score_gemma":0.0005105148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397152,"about_ca_topic_score_gemma":0.000294606,"domain_scores_codex":[0.9965146,0.001142217,0.0006688797,0.0003268171,0.0007977068,0.0005498309],"domain_scores_gemma":[0.9986606,0.0001983724,0.00006060047,0.0004380478,0.0004528665,0.0001895334],"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":[0.003172672,0.00258975,0.002106821,0.0002932837,0.0002902113,0.0001404108,0.005522927,0.7440739,0.1303183,0.01620382,0.004819549,0.0904684],"study_design_scores_gemma":[0.0003537517,0.004714961,0.0006931265,0.0003347028,0.00004185572,0.00001346646,0.01229279,0.8939687,0.08262567,0.0003788484,0.004356884,0.0002252367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448867,0.0006664522,0.1341666,0.01759338,0.0001448195,0.002108733,0.00004613744,0.00004369605,0.0003435458],"genre_scores_gemma":[0.9840499,0.00005377525,0.01414005,0.0007838748,0.00008797451,0.0001245677,0.0001581852,0.00002818432,0.0005735378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1498948,"threshold_uncertainty_score":0.8309231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3749417683933092,"score_gpt":0.4543444267938807,"score_spread":0.07940265840057154,"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."}}