{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837093,0.0004378535,0.000244654,0.001018095,0.0003970134,0.003464077,0.0006378185,0.0005334441,0.003096267],"category_scores_gemma":[0.008740091,0.0001578721,0.0002820599,0.0008812424,0.0005484823,0.003202434,0.001254453,0.000590631,0.0008898609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988844,"about_ca_system_score_gemma":0.0006676564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00081028,"about_ca_topic_score_gemma":0.001492298,"domain_scores_codex":[0.9988871,0.0004319661,0.00007825159,0.0001313725,0.0003070864,0.0001641749],"domain_scores_gemma":[0.993181,0.002994475,0.001260046,0.001014973,0.0008299551,0.0007193803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005026272,0.005576003,0.2063956,0.000716679,0.0001653627,0.0002680499,0.003629878,0.009931318,0.02641288,0.007726534,0.002936525,0.7357385],"study_design_scores_gemma":[0.0001502252,0.005107028,0.866134,0.0003656882,0.0005109374,0.0008440257,0.005488842,0.0365504,0.03565284,0.01979455,0.02914913,0.0002523548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523304,0.0003008482,0.01140985,0.0006302465,0.00001965582,0.0001600916,0.00007971524,0.0006030403,0.03446611],"genre_scores_gemma":[0.989755,0.0002144779,0.007968961,0.00009536623,0.00004608145,0.00003215771,0.00007725615,0.00004581272,0.00176487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003464077,"threshold_uncertainty_score":0.01035798,"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."}}