{"id":"W3212591838","doi":"10.3390/jrfm14110557","title":"Complementary Currencies for Humanitarian Aid","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Udenrigsministeriet; Erasmus Universiteit Rotterdam","keywords":"Currency; Cash; Grassroots; Economics; Financial networks; Cash transfers; Medium of exchange; Virtual currency; Voucher; Cryptocurrency; Business; Finance; Monetary economics; Political science; Macroeconomics; Accounting; Computer science; Law","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":[0.0005030943,0.00009740103,0.0001874896,0.0001882379,0.0002584342,0.0001472651,0.0001017453,0.00002447709,0.0001287963],"category_scores_gemma":[0.00005402093,0.00009297612,0.00008028178,0.0001370905,0.00002506873,0.000360524,0.0001092937,0.00009124471,0.00001318413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594519,"about_ca_system_score_gemma":0.00002896072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628305,"about_ca_topic_score_gemma":0.00007102414,"domain_scores_codex":[0.9991935,0.000005601385,0.0004168256,0.0001132168,0.0001219442,0.0001488656],"domain_scores_gemma":[0.9993021,0.00002039364,0.0003465472,0.00006881324,0.0002524897,0.00000961523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007256483,0.000124342,0.0170227,0.0002071181,0.00006266771,0.00004537166,0.0003717177,0.00001423527,0.000007591682,0.6795569,0.04466829,0.2578465],"study_design_scores_gemma":[0.001242545,0.00001294495,0.04490294,0.00003324664,0.00007336416,0.000003254012,0.001337117,0.0000407252,0.000008623985,0.03157537,0.9206517,0.0001181075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8271818,0.0014522,0.1197995,0.004627028,0.008397986,0.000891417,0.00004585903,0.00005820581,0.03754596],"genre_scores_gemma":[0.9764845,0.0006468738,0.01272632,0.006615257,0.002700457,0.00001541659,0.0000520017,0.00002202457,0.0007371523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8759835,"threshold_uncertainty_score":0.3791456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707132118679493,"score_gpt":0.2248526876013714,"score_spread":0.2077813664145765,"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."}}