{"id":"W4250318624","doi":"10.4018/978-1-59140-799-7.ch024","title":"Consumer Trust in E-Commerce","year":2006,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Conceptualization; Construct (python library); Confusion; Trustworthiness; Field (mathematics); Object (grammar); E-commerce; Business; Epistemology; Computer science; Psychology; Knowledge management; Internet privacy; World Wide Web; Mathematics; Artificial intelligence","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":[0.002964301,0.000204319,0.0002886816,0.0007380413,0.00117007,0.004759873,0.0003438339,0.002452671,0.004720141],"category_scores_gemma":[0.007200316,0.0002010061,0.0001915776,0.001506315,0.004786975,0.004023179,0.001578941,0.001585453,0.0005206185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003416126,"about_ca_system_score_gemma":0.001670389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752914,"about_ca_topic_score_gemma":0.003590106,"domain_scores_codex":[0.9965593,0.002032655,0.0001385582,0.0002003616,0.0008177725,0.0002512798],"domain_scores_gemma":[0.9951771,0.003486514,0.0004130184,0.0002430308,0.0004164962,0.0002637732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000754461,0.00006757877,0.00717878,0.0003490023,0.00003067434,0.0006046095,0.01369528,0.001510725,0.0003897667,0.8857432,0.01096662,0.07938834],"study_design_scores_gemma":[0.00004437192,0.0001907824,0.01907091,0.001399252,0.00005840126,0.001482464,0.01532801,0.006395571,0.0006588829,0.762479,0.192807,0.00008530689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1507245,0.03166896,0.0316854,0.04350124,0.0005683298,0.0001433723,0.000131185,0.00007356516,0.7415036],"genre_scores_gemma":[0.9783819,0.006882889,0.001744643,0.0009080428,0.0001363506,0.00003177158,0.00002720845,0.00001215619,0.01187504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004759873,"threshold_uncertainty_score":0.02478582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07654907525394608,"score_gpt":0.3446164140383805,"score_spread":0.2680673387844345,"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."}}