{"id":"W2466917852","doi":"","title":"MODELING PERCEIVED USEFULNESS ON ADOPTING ON LINEBANKING THROUGH THE TAM MODEL IN A CANADIANBANKING ENVIRONMENT","year":2011,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Latent variable; Computer science; Technology acceptance model; External variable; Variable (mathematics); The Internet; Structural equation modeling; Data science; Artificial intelligence; Usability; World Wide Web; Machine learning; Human–computer interaction; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226302,0.0002282562,0.0002480471,0.0003409239,0.0003634618,0.00008906385,0.001033681,0.0001971239,0.0005581015],"category_scores_gemma":[0.0002808391,0.0001427641,0.0001012239,0.0003734966,0.00009515484,0.000244347,0.0001520401,0.0005941143,0.0002626131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684277,"about_ca_system_score_gemma":0.00006159631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538544,"about_ca_topic_score_gemma":0.0033492,"domain_scores_codex":[0.9973152,0.0001241338,0.0006256773,0.0006551142,0.0008193845,0.0004604835],"domain_scores_gemma":[0.9986458,0.0002160322,0.0001209974,0.0009048817,0.00004428743,0.0000680315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004747579,0.0001662272,0.01205064,9.433423e-7,0.000007170742,0.00002968534,0.01217895,0.9340355,0.00006545429,0.02948794,0.0001230216,0.01180704],"study_design_scores_gemma":[0.000394957,0.0000622876,0.02148695,0.00004956322,0.000008944007,0.00000468022,0.005761573,0.9520384,0.0001523004,0.01952891,0.0002348579,0.0002765601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91201,0.00001015765,0.07962687,0.0008946024,0.0001193343,0.0002257215,0.000003652589,0.00009583709,0.007013814],"genre_scores_gemma":[0.990054,0.000009123278,0.007335445,0.001844054,0.00002403053,0.00003990318,0.000001056726,0.00002147646,0.0006709196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07804398,"threshold_uncertainty_score":0.611082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.303239340944411,"score_gpt":0.3482497402822858,"score_spread":0.04501039933787476,"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."}}