{"id":"W3048066448","doi":"10.5267/j.ijdns.2020.8.001","title":"The impact of information technology quality on electronic customer satisfaction in movie industry","year":2020,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Business; Marketing; Quality (philosophy); Advertising","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":[0.002027001,0.0001767315,0.0002957399,0.0009589526,0.0006680294,0.002645798,0.0002903828,0.0005255896,0.005976021],"category_scores_gemma":[0.01185514,0.0001522284,0.0007120886,0.001792497,0.0004871534,0.0009337055,0.0007575593,0.00092866,0.0005385346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154685,"about_ca_system_score_gemma":0.0008683909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005636259,"about_ca_topic_score_gemma":0.005907638,"domain_scores_codex":[0.9970959,0.001218306,0.0002490657,0.0001787641,0.0007846215,0.000473345],"domain_scores_gemma":[0.9842812,0.007770978,0.002949224,0.0003720374,0.002885005,0.001741569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004704757,0.0007492285,0.9657695,0.0001029584,0.0001236567,0.0002596512,0.002497826,0.0003980276,0.000659387,0.0005859333,0.0008023925,0.02758096],"study_design_scores_gemma":[0.00001155487,0.0005133553,0.9911259,0.00002785873,0.00007196091,0.0000855002,0.005022352,0.001758875,0.000331942,0.0001132362,0.0009222194,0.00001537348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946823,0.0000944048,0.0001463551,0.0002245108,0.000007694026,0.00002298982,0.00008288558,0.000006022856,0.004732965],"genre_scores_gemma":[0.9990671,0.00006190653,0.0001102201,0.00003938713,0.000006614784,0.000008651049,0.00006915017,0.000002538598,0.000634495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005976021,"threshold_uncertainty_score":0.01999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119307863882944,"score_gpt":0.4598704601582461,"score_spread":0.3479396737699516,"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."}}