{"id":"W4239409544","doi":"10.33423/jabe.v22i10.3712","title":"Agile Competencies for Humanitarian Response Operations: Four Cases From Indian Subcontinent","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agile software development; Flood myth; Flexibility (engineering); Data collection; Emergency response; Cyclone (programming language); Operations management; Disaster response; Supply chain; Computer science; Business; Process management; Emergency management; Engineering; Geography; Marketing; Management; Statistics; Mathematics; Economics; Medicine; Economic growth; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003015657,0.0001548898,0.0003142542,0.0001660043,0.0002398833,0.0004812347,0.0002140092,0.00004785701,0.00007036898],"category_scores_gemma":[0.0001065288,0.0001328225,0.0000702294,0.0001331676,0.0000505128,0.0006923632,0.0001048229,0.00008345964,0.00001762659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002542247,"about_ca_system_score_gemma":0.00004716615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509094,"about_ca_topic_score_gemma":0.0003160598,"domain_scores_codex":[0.9991098,0.000003965993,0.0004570575,0.0001857232,0.00007155571,0.0001719211],"domain_scores_gemma":[0.9992766,0.0001062967,0.0003114706,0.00009950068,0.0001746404,0.00003144052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05064517,0.001721429,0.05470111,0.003476682,0.002711163,0.001534121,0.01496264,0.2983147,0.02135916,0.2956993,0.08671047,0.1681641],"study_design_scores_gemma":[0.007764188,0.0002190276,0.09910853,0.0001676594,0.0005320424,0.000048608,0.02418605,0.02874603,0.0003797484,0.0127154,0.8248563,0.001276415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911392,0.0001223485,0.000830817,0.007052581,0.0002802692,0.0002710038,0.00001573897,0.00001445768,0.0002735247],"genre_scores_gemma":[0.9922756,0.0001965084,0.001351399,0.004264631,0.001837836,0.00001481555,0.00002234497,0.00002094634,0.00001594197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7381458,"threshold_uncertainty_score":0.5416344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027516763607304,"score_gpt":0.2066105086753521,"score_spread":0.176335341039279,"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."}}