{"id":"W297278652","doi":"","title":"Customer Loyalty in Social Virtual Worlds","year":2009,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty business model; Loyalty; Structural equation modeling; Customer satisfaction; Sine qua non; Computer science; Marketing; Key (lock); Advertising; Psychology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005261466,0.00006232141,0.0001979123,0.0001630065,0.0004128073,0.0002948417,0.0002591965,0.0001414266,0.000002237107],"category_scores_gemma":[0.003064825,0.00004839322,0.000178019,0.0004560421,0.00002376016,0.001361548,0.000009131631,0.0001715611,0.00001726288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009744809,"about_ca_system_score_gemma":0.0002388363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004651667,"about_ca_topic_score_gemma":0.00003786393,"domain_scores_codex":[0.9979276,0.0002801347,0.000699994,0.00003145847,0.0008512103,0.0002096226],"domain_scores_gemma":[0.9974391,0.0003220279,0.00152024,0.00004358287,0.0006240126,0.00005106869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002739425,0.0001840939,0.05457974,0.00004536898,0.0001263779,6.249763e-7,0.1670692,0.001138683,0.00001957111,0.4861175,0.2362715,0.05417338],"study_design_scores_gemma":[0.00100483,0.00005850073,0.04973495,0.00007979903,0.00001963815,8.922074e-7,0.01847619,0.00005397762,0.000004932921,0.00125,0.9291964,0.0001199057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2241761,0.00006371464,0.0002679869,0.01595977,0.01104793,0.001163804,0.00004669675,0.00006751483,0.7472064],"genre_scores_gemma":[0.9941671,0.000007833356,0.00001046584,0.0003099397,0.0009636713,0.000004233196,0.000001899699,0.000002654074,0.004532165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.769991,"threshold_uncertainty_score":0.3669103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232421964854378,"score_gpt":0.2833191323279569,"score_spread":0.2709949126794131,"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."}}