{"id":"W3112516568","doi":"10.1109/syscon47679.2020.9275915","title":"Blockchain-Based Transparent Disaster Relief Delivery Assurance","year":2020,"lang":"en","type":"article","venue":"2020 IEEE International Systems Conference (SysCon)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Transparency (behavior); Business; Emergency management; Government (linguistics); Computer security; Business continuity; Internet of Things; Internet privacy; Computer science; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002299136,0.0003009478,0.0003773774,0.00009996133,0.0001442539,0.0002736906,0.002391178,0.0002035847,0.00008269888],"category_scores_gemma":[0.00005561035,0.0002961869,0.0001422358,0.0003933229,0.000125313,0.0001412014,0.0001224309,0.000378181,0.0003594481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008846379,"about_ca_system_score_gemma":0.0002264734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245793,"about_ca_topic_score_gemma":0.00006304814,"domain_scores_codex":[0.997456,0.0001125713,0.0006295451,0.0008535743,0.0005962184,0.0003520582],"domain_scores_gemma":[0.9982875,0.0001687416,0.000270004,0.0006382251,0.000413773,0.0002217805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002376774,0.001030762,0.00959185,0.0005727143,0.0008232175,0.0003828105,0.006393027,0.04357495,0.02945394,0.8460788,0.03089392,0.03096632],"study_design_scores_gemma":[0.000826224,0.0001219926,0.0006644739,0.0001460836,0.00001548692,0.00002538448,0.0001280076,0.9620087,0.00332755,0.0006588712,0.03160533,0.0004719075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1132147,0.0002905391,0.846567,0.03402158,0.001817048,0.0006316287,0.0001022781,0.0006936943,0.002661433],"genre_scores_gemma":[0.9955719,0.00002621303,0.002091951,0.001565111,0.0003136506,0.0002318481,0.00001654837,0.00001806367,0.0001647558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9184337,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804875726393937,"score_gpt":0.2567224173079481,"score_spread":0.2186736600440088,"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."}}