{"id":"W3027036673","doi":"10.20956/halrev.v6i1.2136","title":"Letter of Credit Disputes from an Arbitration Perspective","year":2020,"lang":"en","type":"article","venue":"Hasanuddin Law Review","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Bank of Canada","keywords":"Arbitration; Perspective (graphical); Letter of credit; Arbitration clause; Business; Law; Law and economics; Federal Arbitration Act; Political science; Compulsory arbitration; Economics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01389104,0.0003897811,0.0007965868,0.00369411,0.01055336,0.02671932,0.00248026,0.01712113,0.01363364],"category_scores_gemma":[0.02797425,0.0003724855,0.001082218,0.005040952,0.01381257,0.01477085,0.004683554,0.008130437,0.002452113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01150985,"about_ca_system_score_gemma":0.005315172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005134635,"about_ca_topic_score_gemma":0.003488521,"domain_scores_codex":[0.9691943,0.01433313,0.002043766,0.002364569,0.008091845,0.003972466],"domain_scores_gemma":[0.9848545,0.008853429,0.001383222,0.0007978024,0.003493142,0.0006179289],"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":[0.0000129578,0.00001721617,0.0001918606,0.00006278727,0.000004685598,0.0003065936,0.001599157,0.0001674072,0.00009112818,0.9857575,0.006356066,0.005432537],"study_design_scores_gemma":[0.00002818138,0.00005136454,0.001117138,0.0002763167,0.00001687924,0.0008715091,0.003500311,0.001116886,0.0003559172,0.6788247,0.3137856,0.00005505012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02647917,0.03097886,0.02250577,0.09942469,0.002052464,0.0001368225,0.0001415274,0.00003916224,0.8182416],"genre_scores_gemma":[0.871555,0.01261663,0.007846172,0.02025846,0.003794325,0.0002039927,0.0001054246,0.00004505984,0.08357488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02671932,"threshold_uncertainty_score":0.08351022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900573491143529,"score_gpt":0.2874239912344012,"score_spread":0.2284182563229659,"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."}}