{"id":"W2465744489","doi":"","title":"The Profiling the Internet Banking Adopter","year":2005,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Early adopter; Profiling (computer programming); Business; Logistic regression; Electronic banking; Scale (ratio); Computer science; Marketing; World Wide Web","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":[0.0004022165,0.0001266801,0.0001283371,0.001289363,0.0002289317,0.0006918652,0.0001298135,0.0002744641,0.001480229],"category_scores_gemma":[0.002914662,0.0001044498,0.00009531816,0.0007716064,0.0001212896,0.0009138184,0.0003530028,0.0002915126,0.0006090594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441086,"about_ca_system_score_gemma":0.000167258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777874,"about_ca_topic_score_gemma":0.002067625,"domain_scores_codex":[0.9996934,0.0001091115,0.00002425495,0.00003526672,0.00008445609,0.00005343751],"domain_scores_gemma":[0.9986911,0.0002880788,0.000510523,0.0000621284,0.0002834725,0.0001646513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000503495,0.00008449455,0.9651598,0.00002416019,0.00001270823,0.0001855257,0.001796883,0.0002474678,0.002274871,0.0003222495,0.0004042747,0.02943723],"study_design_scores_gemma":[0.000002334895,0.0001574741,0.9878567,0.00003472577,0.00001515856,0.0009753309,0.004499876,0.00306299,0.0009012246,0.0002717928,0.002203627,0.00001854538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977239,0.00005834036,0.0006680451,0.00009490938,0.000002469175,0.00001566306,0.0001285148,0.000005353823,0.001302824],"genre_scores_gemma":[0.9984616,0.0001366837,0.000584814,0.00002959248,0.000004020742,0.00001119072,0.0001020571,0.00000154643,0.0006684913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001777874,"threshold_uncertainty_score":0.004951835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250381682163373,"score_gpt":0.3485417617928714,"score_spread":0.2760379449712377,"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."}}