{"id":"W4391012202","doi":"10.3390/jrfm17010038","title":"Decentralized Data and Artificial Intelligence Orchestration for Transparent and Efficient Small and Medium-Sized Enterprises Trade Financing","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Washington; TD Bank","keywords":"Trade finance; Orchestration; Transparency (behavior); Credibility; Predictability; Supply chain; Cash flow; Business; Finance; Computer science; Economics; Marketing; Public finance; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008147239,0.0004324041,0.0006658143,0.00128709,0.001425945,0.004652411,0.001861184,0.001110605,0.002000198],"category_scores_gemma":[0.01342667,0.0004396051,0.0009230852,0.001362348,0.002528682,0.005477848,0.005826983,0.002304941,0.0004622562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012167,"about_ca_system_score_gemma":0.005688293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166256,"about_ca_topic_score_gemma":0.005748132,"domain_scores_codex":[0.9957664,0.001742276,0.0004199026,0.0006706084,0.001027145,0.0003737285],"domain_scores_gemma":[0.9928859,0.003221627,0.0006353908,0.002242826,0.000621055,0.0003932058],"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":[0.0004103116,0.0004021668,0.01073029,0.0002172351,0.0001313585,0.0008959551,0.00318945,0.2946741,0.01202947,0.4789407,0.007492027,0.1908869],"study_design_scores_gemma":[0.00004668652,0.00003834195,0.0006431702,0.0000621732,0.00003130642,0.00007527694,0.0005361646,0.756046,0.004896725,0.2220664,0.01552105,0.00003660108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03464831,0.000114469,0.9526961,0.002013521,0.0000472165,0.0002853582,0.0001891512,0.002859942,0.007145977],"genre_scores_gemma":[0.6733999,0.0001455586,0.322969,0.000266472,0.0000490911,0.0003464914,0.0004712991,0.0002268175,0.002125407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008147239,"threshold_uncertainty_score":0.04308724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04628653285837584,"score_gpt":0.2652723202974045,"score_spread":0.2189857874390287,"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."}}