{"id":"W3207845448","doi":"10.5539/ibr.v14n11p61","title":"Fintech in Dubai: Development and Ecosystem","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial services; Business; Private sector; Government (linguistics); Flourishing; FinTech; Marketing; Economics; Finance; Economic growth","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":[0.0007418612,0.0001366143,0.0001614368,0.0008162514,0.0001207896,0.0007976476,0.0003922419,0.00007376291,0.0003046957],"category_scores_gemma":[0.001392526,0.0001412627,0.00002347857,0.00152831,0.00006739304,0.001138927,0.0008513296,0.0002773728,0.000643749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337768,"about_ca_system_score_gemma":0.0001656887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002328949,"about_ca_topic_score_gemma":0.001412999,"domain_scores_codex":[0.9980783,0.00001048755,0.0003368542,0.0004365733,0.000760042,0.0003777186],"domain_scores_gemma":[0.9980653,0.0001238932,0.00006848499,0.0001667324,0.001562011,0.00001361114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002725047,0.0009124244,0.6265571,0.001395586,0.0001259346,0.002703431,0.0002979921,0.0001764263,0.009272437,0.2066603,0.01571004,0.1359159],"study_design_scores_gemma":[0.0006677606,0.000002986425,0.3798849,0.0006704223,0.000001883409,0.00004348951,0.0002266452,0.001281994,0.003345627,0.003910909,0.6096649,0.0002985077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913384,0.0001718593,0.0004156021,0.003811983,0.0005309834,0.0001654185,0.000004948287,0.00005906642,0.08145618],"genre_scores_gemma":[0.9955899,0.00002600504,0.000326366,0.0001912521,0.0003689891,0.00005958346,0.00005315321,0.00002463979,0.003360167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5939549,"threshold_uncertainty_score":0.8274306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970657217676439,"score_gpt":0.3226998312883423,"score_spread":0.2529932591115779,"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."}}