{"id":"W2602581312","doi":"","title":"Influence of Demographic Factors on Users' Adoption of Electronic Banking in Ethiopia","year":2017,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"ICT Impact and Policies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Test (biology); Descriptive statistics; Service (business); Business; Variance (accounting); Marketing; Demographic profile; Developing country; Data collection; Survey methodology; Accounting; Population; Economic growth; Medicine; Statistics; Economics; Environmental health; Social science; Sociology","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":[0.0005934112,0.000122228,0.0001183876,0.0006339626,0.0003610507,0.0008351727,0.0001184657,0.0001830907,0.002736166],"category_scores_gemma":[0.002474606,0.0001134225,0.0001836437,0.0004902605,0.000177369,0.0004478283,0.0002873487,0.0002560406,0.0002343766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172861,"about_ca_system_score_gemma":0.0003512457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032807,"about_ca_topic_score_gemma":0.005561836,"domain_scores_codex":[0.9995301,0.0002105234,0.00005730596,0.00004062399,0.00009212167,0.000069334],"domain_scores_gemma":[0.9976808,0.001003983,0.0006624727,0.00005646402,0.0003023909,0.0002938992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005709918,0.0001250682,0.9885201,0.00004887311,0.00002124838,0.0002851006,0.002161935,0.00006255898,0.0003808326,0.00008288145,0.0002202187,0.008034128],"study_design_scores_gemma":[0.000002075908,0.00008137868,0.9890689,0.00005273298,0.00001689582,0.0003524949,0.009302599,0.000189463,0.0001418507,0.00003509997,0.0007475459,0.000008977502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987718,0.0001283682,0.00003785689,0.00008173556,0.000003455514,0.000007077581,0.00009151775,0.000001128164,0.0008769034],"genre_scores_gemma":[0.9995153,0.0001922734,0.00004871447,0.00002599605,0.000003096039,0.000004352569,0.00003983402,5.946509e-7,0.0001698903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004032807,"threshold_uncertainty_score":0.009153426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411160110642057,"score_gpt":0.2555472728807631,"score_spread":0.2414356717743426,"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."}}