{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004884193,0.00009290544,0.0001958351,0.0001603131,0.00004628982,0.00002122663,0.0003292269,0.00005147986,0.000005178074],"category_scores_gemma":[0.00004341415,0.00006356474,0.00005213008,0.00005306088,0.00009216044,0.0001301234,0.00003034654,0.0003950649,2.977183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002240116,"about_ca_system_score_gemma":0.00001112105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002609926,"about_ca_topic_score_gemma":0.00007291818,"domain_scores_codex":[0.9993761,0.00005462961,0.0002815624,0.00002083353,0.0001183271,0.0001485831],"domain_scores_gemma":[0.9993667,0.0001773216,0.0002619416,0.0001423149,0.00003417294,0.00001752242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003236064,0.00007125448,0.7940969,0.0002681847,0.0003187142,0.000001999423,0.04384365,0.1271323,0.02099011,0.00805794,0.0001908171,0.004704472],"study_design_scores_gemma":[0.0004649979,0.0005207207,0.978043,0.001644026,0.00004448085,0.00003259399,0.0006963671,0.001312818,0.01596511,0.0009971606,0.0001582267,0.0001204891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989765,0.0003342516,0.00007976255,0.00007655809,0.00004649432,0.00003554596,8.566212e-7,0.000005324598,0.0004447233],"genre_scores_gemma":[0.9994081,0.0005079203,0.000006382383,0.00003697329,0.00002184017,2.330722e-7,1.848644e-7,0.000009247814,0.000009137247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839461,"threshold_uncertainty_score":0.2592095,"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."}}