{"id":"W2785943049","doi":"10.5539/ass.v14n2p145","title":"Artificial Intelligence, Smart Contract and Islamic Finance","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart contract; Islamic finance; Set (abstract data type); Computer science; Block (permutation group theory); Islam; Business; Finance; Artificial intelligence; Computer security; Blockchain","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476225,0.0001718396,0.0002317841,0.0009657899,0.001175369,0.002379508,0.0002420567,0.0008682693,0.002846431],"category_scores_gemma":[0.002778348,0.00006215425,0.000178965,0.001721803,0.005112301,0.003311894,0.001095231,0.001093155,0.0001676225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116841,"about_ca_system_score_gemma":0.001445369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220555,"about_ca_topic_score_gemma":0.001351523,"domain_scores_codex":[0.9988017,0.0005227604,0.00005789822,0.00008254778,0.0003947298,0.0001404157],"domain_scores_gemma":[0.9978176,0.001155998,0.0005686556,0.0001104319,0.0001910193,0.0001562043],"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":[0.00003292205,0.00005446917,0.004182714,0.00004605217,0.000006049759,0.0001124357,0.0006783448,0.002004944,0.0001441697,0.9634929,0.001274087,0.02797084],"study_design_scores_gemma":[0.00001946298,0.0001344546,0.0152987,0.0001572694,0.00001081175,0.000267872,0.00268085,0.00976596,0.0003988313,0.9154961,0.05573974,0.00003006444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4207096,0.01698522,0.02371095,0.02147578,0.0003421665,0.00008841496,0.0001011356,0.0000564378,0.5165302],"genre_scores_gemma":[0.9909908,0.002540277,0.001963306,0.0004332983,0.0001214997,0.00001935048,0.00001796184,0.000003408969,0.003910211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002846431,"threshold_uncertainty_score":0.01535887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024758387664805,"score_gpt":0.2586716964084732,"score_spread":0.2384241125318251,"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."}}