{"id":"W2541647383","doi":"10.1080/08874417.2011.11645517","title":"Enhancing Online Performance through Website Content and Personalization","year":2011,"lang":"en","type":"article","venue":"Journal of Computer Information Systems","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Personalization; Website design; Structural equation modeling; Sample (material); Business; Customer satisfaction; Computer science; Marketing; World Wide Web","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":[0.0005071741,0.00009441392,0.0001930412,0.0001825936,0.00009316634,0.0002541555,0.0001214505,0.00004225207,0.00002053089],"category_scores_gemma":[0.00001144279,0.00007568146,0.00004578949,0.0001624878,0.00001507332,0.007520542,0.00004956414,0.00010099,0.00003914556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062855,"about_ca_system_score_gemma":0.00001551859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574867,"about_ca_topic_score_gemma":0.000009591607,"domain_scores_codex":[0.998844,0.00001239099,0.0007231284,0.00004355775,0.000272415,0.0001045336],"domain_scores_gemma":[0.9983764,0.00001727901,0.0009440367,0.00007246478,0.0005769731,0.00001288028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001531085,0.001001108,0.5389117,0.03080248,0.001100959,0.00004219263,0.1373803,0.007078573,0.0005713701,0.143898,0.01706326,0.120619],"study_design_scores_gemma":[0.003413815,0.0002253105,0.3539752,0.002095637,0.0001605885,0.0004021944,0.01637271,0.2627744,0.0001342185,0.0001178786,0.3596682,0.0006598524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034249,0.000127514,0.09241589,0.0001094187,0.001277381,0.0001244679,0.000001540143,0.00002844108,0.002490451],"genre_scores_gemma":[0.9959351,0.00003468071,0.001040579,0.001871938,0.001077232,0.000001025111,0.00001247649,0.000004846734,0.00002205723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3426049,"threshold_uncertainty_score":0.5452212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06855514180427237,"score_gpt":0.2353486826348024,"score_spread":0.1667935408305301,"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."}}