{"id":"W4386150054","doi":"10.1016/j.cie.2023.109559","title":"Interplay between humanitarian procurement operations and fundraising","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Procurement; Newsvendor model; Context (archaeology); Business; Benchmark (surveying); Preparedness; Operations research; Task (project management); Finance; Operations management; Economics; Supply chain; Marketing; Engineering; Management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003638467,0.0006556819,0.0008028112,0.000526071,0.0008494217,0.003191288,0.001228728,0.001619629,0.006190431],"category_scores_gemma":[0.01013224,0.0005684217,0.0004332642,0.000597488,0.001821336,0.004243354,0.00146039,0.001360587,0.0002957047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141973,"about_ca_system_score_gemma":0.00217327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00423254,"about_ca_topic_score_gemma":0.00334255,"domain_scores_codex":[0.9977434,0.001219542,0.00006233436,0.0002090475,0.0001993756,0.0005663646],"domain_scores_gemma":[0.9921327,0.005006213,0.001410639,0.0002864212,0.0003763093,0.0007876529],"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":[0.000437496,0.000248213,0.005287942,0.0002304112,0.00009924437,0.001310955,0.0006557298,0.7262661,0.002917721,0.23686,0.002123444,0.02356261],"study_design_scores_gemma":[0.0001360496,0.0006219005,0.00598672,0.00009349598,0.00009082948,0.000427863,0.002440408,0.8349432,0.001709829,0.1462296,0.007207716,0.0001124166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.718255,0.001007695,0.1974525,0.00430091,0.0001116453,0.0002603115,0.0002598655,0.0001365996,0.07821526],"genre_scores_gemma":[0.9929186,0.000175918,0.003093327,0.00004358306,0.00001671142,0.00003355597,0.00001288399,0.000008005361,0.003697316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006190431,"threshold_uncertainty_score":0.02070904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932330354595755,"score_gpt":0.2569798831111642,"score_spread":0.1876565795652066,"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."}}