{"id":"W2102379775","doi":"10.4018/978-1-4666-1637-0.ch010","title":"An Empirical Evaluation of the Effects of Gender Differences and Self-efficacy in the Adoption of E-banking in Nigeria","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Technology acceptance model; Extant taxon; Context (archaeology); Disadvantaged; Affect (linguistics); Empirical research; Psychology; Perception; Developing country; Usability; Empirical evidence; Social psychology; Applied psychology; Political science; Geography; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694302,0.0001916274,0.0004441635,0.0002158258,0.00003781584,0.00002255342,0.000736072,0.0004425168,0.00002328893],"category_scores_gemma":[0.0003478596,0.0001071934,0.0001121728,0.0001168503,0.0002756157,0.00006822862,0.0001197437,0.0002774206,0.000002512249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006618034,"about_ca_system_score_gemma":0.0001347351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002099873,"about_ca_topic_score_gemma":0.0002136146,"domain_scores_codex":[0.9968083,0.0005005753,0.0007483297,0.000310908,0.001477484,0.0001544337],"domain_scores_gemma":[0.9979663,0.0004471255,0.000660274,0.0006573853,0.0002390182,0.00002985133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006056464,0.0005194274,0.6489615,0.00005788602,0.00003689342,0.000002652978,0.005524098,0.00001067615,0.000389073,0.2904043,0.00005458431,0.05397823],"study_design_scores_gemma":[0.0005369821,0.00008716734,0.8447328,0.0001138717,0.00007890938,0.000005630383,0.0002193558,0.00005669547,0.00008870442,0.1539546,0.00003246019,0.00009283566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750555,0.0004644863,0.00002334479,0.00003066463,0.0002046325,0.0006383808,0.00001451612,0.00001357995,0.02355487],"genre_scores_gemma":[0.9997836,0.000008045451,0.00007497057,0.00003788911,0.00001789022,0.00001115467,6.807376e-7,0.000006234094,0.00005952532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957712,"threshold_uncertainty_score":0.4371218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215206001720604,"score_gpt":0.3887262643587233,"score_spread":0.2672056641866629,"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."}}