{"id":"W3136494674","doi":"10.5267/j.ijdns.2021.2.001","title":"How to build consumer trust towards e-satisfaction in e-commerce sites in the covid-19 pandemic time?","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service quality; Business; E-commerce; Quality (philosophy); Service (business); Variable (mathematics); Pandemic; Customer satisfaction; Marketing; Psychology; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Mathematics","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":[0.003230629,0.0002044699,0.0004090281,0.0006377645,0.00176897,0.005430952,0.0004432352,0.001065809,0.005497744],"category_scores_gemma":[0.01405687,0.0002408036,0.0007518038,0.0007454594,0.00154563,0.004074137,0.001754549,0.001979015,0.0008743339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054314,"about_ca_system_score_gemma":0.002669737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008758688,"about_ca_topic_score_gemma":0.01335392,"domain_scores_codex":[0.9971759,0.001627128,0.0000968016,0.0001311813,0.0005196393,0.0004493438],"domain_scores_gemma":[0.9909129,0.002485249,0.001561228,0.0005398421,0.002427762,0.002072976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000457172,0.0016885,0.6086996,0.0007624938,0.0004205527,0.001622347,0.04996903,0.0006700894,0.002446931,0.01817412,0.02563386,0.2894553],"study_design_scores_gemma":[0.0001326918,0.001172226,0.7480862,0.001120145,0.0004289398,0.001214528,0.1517002,0.00781728,0.001926246,0.0167789,0.06940375,0.0002188354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176807,0.001357383,0.004678609,0.0270035,0.0002391742,0.0001375933,0.0001220641,0.00008433487,0.04869663],"genre_scores_gemma":[0.9962857,0.0004840678,0.0009687308,0.0007947612,0.00003077634,0.00002388359,0.00004379547,0.00001207048,0.001356321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008758688,"threshold_uncertainty_score":0.01839185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986986632454016,"score_gpt":0.3423086107963452,"score_spread":0.272438744471805,"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."}}