{"id":"W2022334480","doi":"10.1023/b:item.0000008081.55563.d4","title":"Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce","year":2003,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":349,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Computational trust; E-commerce; Meaning (existential); Cognition; Context (archaeology); Business; Customer intelligence; Customer to customer; Customer advocacy; Computer science; Knowledge management; Customer retention; Marketing; Psychology; World Wide Web; Reputation; Service (business); Service quality","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001609815,0.0002775808,0.0003605411,0.003401742,0.0003752977,0.000131675,0.0004822646,0.0004704623,0.0002787914],"category_scores_gemma":[0.0002534468,0.0002606827,0.00004978399,0.002412631,0.0004757188,0.0009516595,0.0001768527,0.0008257673,0.000326495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003540919,"about_ca_system_score_gemma":0.0000676482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005994602,"about_ca_topic_score_gemma":0.0001032917,"domain_scores_codex":[0.9974036,0.0001376182,0.0008833581,0.0003590293,0.000503954,0.0007124793],"domain_scores_gemma":[0.9988323,0.0002387603,0.0003140757,0.0004472091,0.00007635514,0.00009131987],"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":[0.00003365662,0.00009911671,0.05582839,0.00001493443,0.00004833316,0.000005861867,0.0001863208,0.00001444229,0.00002092154,0.9305938,0.007168663,0.005985528],"study_design_scores_gemma":[0.005858486,0.0002989616,0.1657023,0.00004743167,0.00007074636,0.0001278032,0.01430697,0.002724623,0.00004262743,0.1471252,0.6629961,0.000698712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299467,0.0004762075,0.02303906,0.01605593,0.0003065596,0.001388905,0.00006438372,0.0008374795,0.02788475],"genre_scores_gemma":[0.9954365,0.001621847,0.00029234,0.002011771,0.000003924551,0.0001070872,0.00009405307,0.00001160203,0.0004208052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7834686,"threshold_uncertainty_score":0.9999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08185303778642673,"score_gpt":0.3012992924989822,"score_spread":0.2194462547125555,"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."}}