{"id":"W2529320243","doi":"","title":"Online Banking Prospects in Morocco: An Extension ofTechnology Acceptance Model","year":2011,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Technology acceptance model; Usability; Computer-assisted web interviewing; Extension (predicate logic); Business; Positive attitude; Computer science; Marketing; Psychology; Social psychology; Human–computer interaction","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":[0.00175463,0.0005563776,0.0004694172,0.001178794,0.0007874847,0.002084465,0.0005640349,0.0008886314,0.003515654],"category_scores_gemma":[0.002786626,0.0001975908,0.0008160722,0.0008501982,0.0005896751,0.0008828318,0.001057186,0.0007027954,0.0003569652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653504,"about_ca_system_score_gemma":0.001137941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165676,"about_ca_topic_score_gemma":0.01528917,"domain_scores_codex":[0.9989508,0.0004620262,0.00003997565,0.00007424505,0.0001812477,0.0002916594],"domain_scores_gemma":[0.9975181,0.001441849,0.0004343595,0.0001188028,0.0003288529,0.0001581211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002855562,0.001214053,0.8447199,0.0002733944,0.0002535521,0.001974657,0.01309214,0.01319113,0.002000025,0.03585282,0.001568089,0.08557484],"study_design_scores_gemma":[0.00009715967,0.001060995,0.7792794,0.0003644466,0.0003431895,0.0009732085,0.01816705,0.1743114,0.0008319361,0.01206507,0.01239011,0.0001159931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855722,0.0002940097,0.00374846,0.0006714351,0.00001934346,0.00008462006,0.0000978684,0.00001659221,0.009495375],"genre_scores_gemma":[0.9986462,0.0001538527,0.0005348332,0.00002837725,0.000007867741,0.00003643187,0.00002931744,0.000001102813,0.000562009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165676,"threshold_uncertainty_score":0.0329423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1565974946122058,"score_gpt":0.3692975376120395,"score_spread":0.2127000429998337,"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."}}