{"id":"W2529951953","doi":"","title":"Challenges of Automated Teller Machine (ATM) Usage and FraudOccurrences in Nigeria Ã¢ÂÂ A Case Study of Selected Banks inMinna Metropolis","year":2010,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Computer science; Order (exchange); ATM card; Computer security; Electronic banking; Empirical research; Electronic funds transfer; Transfer (computing); Business; Finance; World Wide Web; The Internet; Operating system; Statistics","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":[0.001403007,0.000217796,0.0002610738,0.001766141,0.006007011,0.002590796,0.0007199308,0.001779158,0.001712487],"category_scores_gemma":[0.003124696,0.000313357,0.0002081266,0.002095929,0.002122166,0.0015797,0.001651017,0.0008459263,0.0001737869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723436,"about_ca_system_score_gemma":0.001901561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02505752,"about_ca_topic_score_gemma":0.05146008,"domain_scores_codex":[0.9986157,0.0006609085,0.0001302174,0.00009446734,0.0002149707,0.0002836044],"domain_scores_gemma":[0.996141,0.001765392,0.001319939,0.00009833409,0.0003452014,0.0003301842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000204996,0.0008641772,0.7411511,0.0002538576,0.00003718639,0.07523509,0.141554,0.0009411685,0.001975691,0.006010019,0.001738994,0.03003379],"study_design_scores_gemma":[0.00001324093,0.0002314952,0.2898078,0.0002755485,0.00004532788,0.02928657,0.6625252,0.0026332,0.001409192,0.0009916873,0.01274275,0.00003800515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99801,0.0001569105,0.00005929105,0.0004606996,0.000003262741,0.00001253039,0.00001589903,9.254575e-7,0.001280637],"genre_scores_gemma":[0.9984047,0.0004940575,0.0001529154,0.00006528473,0.000004364534,0.000008112997,0.00001728277,9.554784e-7,0.0008522448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505752,"threshold_uncertainty_score":0.04982334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680258803557831,"score_gpt":0.2935471193208611,"score_spread":0.2667445312852829,"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."}}