{"id":"W3037481330","doi":"10.5430/bmr.v9n2p9","title":"Management of Financial Technology and Its Impact on the Banking Services: Palestine","year":2020,"lang":"en","type":"article","venue":"Business and Management Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attractiveness; Financial services; Business; Order (exchange); Marketing; Service (business); Product (mathematics); Palestine; Finance","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":[0.0007121558,0.000215319,0.0001494326,0.001244877,0.002696924,0.005659004,0.0002867034,0.0008334332,0.006770466],"category_scores_gemma":[0.001324923,0.000170432,0.0001596421,0.001920458,0.002229193,0.0016714,0.002197937,0.001335124,0.000481784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004029578,"about_ca_system_score_gemma":0.004091606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0150351,"about_ca_topic_score_gemma":0.01793489,"domain_scores_codex":[0.9993908,0.0001972561,0.00002638303,0.0000395941,0.0001128266,0.0002331424],"domain_scores_gemma":[0.9993886,0.0001796886,0.0001871328,0.0000214135,0.00007465654,0.0001484774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004263231,0.0008933968,0.3832988,0.0008668934,0.00005609544,0.01066307,0.08524393,0.001204617,0.004245705,0.2252461,0.00804888,0.2798062],"study_design_scores_gemma":[0.00002919928,0.0004027731,0.5720428,0.002024283,0.00004338147,0.004679003,0.1504698,0.0007900361,0.001637836,0.01325507,0.2545716,0.00005430027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676943,0.01148428,0.0002341836,0.01382342,0.00009921216,0.00002423996,0.00009016165,0.000005467452,0.1065447],"genre_scores_gemma":[0.9882884,0.005248669,0.0001143896,0.000622979,0.00003271559,0.000006067431,0.00002320941,0.000001647888,0.00566192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0150351,"threshold_uncertainty_score":0.02989519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04755526247328554,"score_gpt":0.3009597372876859,"score_spread":0.2534044748144003,"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."}}