{"id":"W4317641937","doi":"10.4018/978-1-7998-9220-5.ch177","title":"Artificial Intelligence for Sustainable Humanitarian Logistics","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mindset; Sustainability; Supply chain; Government (linguistics); Business; Engineering; Humanitarian Logistics; Knowledge management; Computer science; Process management; Artificial intelligence; Marketing","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":[0.0003033766,0.0009659008,0.0003283297,0.001221395,0.0008555794,0.00304656,0.0005576185,0.00155895,0.01559579],"category_scores_gemma":[0.0007174292,0.0002866695,0.0004012325,0.001985651,0.001764188,0.003174626,0.001320571,0.003245556,0.007623699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430033,"about_ca_system_score_gemma":0.00139551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013068,"about_ca_topic_score_gemma":0.002193651,"domain_scores_codex":[0.9997068,0.00006467086,0.00001149832,0.00004209012,0.0001554131,0.00001957643],"domain_scores_gemma":[0.9997316,0.000164636,0.00001512389,0.00002775884,0.00004255278,0.00001835678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001392448,0.0000434234,0.0001381689,0.0006081507,0.00001700741,0.00009866578,0.0004966849,0.002776311,0.0006824646,0.5167301,0.2812167,0.1971784],"study_design_scores_gemma":[0.000001909015,0.000006566005,0.0001510232,0.0003581924,0.000003160147,0.00008630304,0.00007182056,0.0007057526,0.00009317755,0.1337902,0.8647252,0.000006589605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009758609,0.2349804,0.0173988,0.01178523,0.003200724,0.00005869362,0.000145746,0.0002554083,0.7311992],"genre_scores_gemma":[0.03290385,0.2759325,0.03002907,0.007096091,0.003606866,0.0001778661,0.0004299568,0.0002979771,0.6495258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01559579,"threshold_uncertainty_score":0.05217314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240206415312136,"score_gpt":0.2722419880447468,"score_spread":0.1482213465135332,"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."}}