{"id":"W4378364148","doi":"10.1145/3589462.3589503","title":"Trust on Personalised Electronic Commerce","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"The Internet; Internet privacy; Internet users; Value (mathematics); Logistic regression; Computer science; Business; Advertising; Computer security; World Wide Web","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":[0.001842842,0.00008039921,0.0002248803,0.0007137634,0.0008445188,0.002865508,0.0001728306,0.0006003306,0.004609301],"category_scores_gemma":[0.01533241,0.0001265715,0.0002144968,0.0007247712,0.001623724,0.001207225,0.001297346,0.000793046,0.0002579791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002518576,"about_ca_system_score_gemma":0.001012407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123663,"about_ca_topic_score_gemma":0.007444767,"domain_scores_codex":[0.9969414,0.001583727,0.0001739962,0.0001469,0.0006616308,0.0004923218],"domain_scores_gemma":[0.979354,0.009041093,0.006351087,0.0009755818,0.002082949,0.002195273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005151303,0.0003325852,0.8407494,0.0001913295,0.0001352538,0.001546903,0.03157798,0.001607527,0.0007245076,0.03829632,0.002963934,0.08135915],"study_design_scores_gemma":[0.00005544041,0.0003602071,0.9167006,0.0003292745,0.0000865539,0.001803774,0.03364838,0.004763162,0.0003384701,0.01740446,0.0244395,0.00007008165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9591397,0.0008167098,0.001006543,0.002256516,0.00002545513,0.00001011088,0.00005165118,0.00000799002,0.03668527],"genre_scores_gemma":[0.9994086,0.00009959697,0.0000292764,0.00003517705,0.000005712513,8.678605e-7,0.000005916108,9.335182e-7,0.0004139937],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0123663,"threshold_uncertainty_score":0.02458864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214477237883806,"score_gpt":0.3273362112274242,"score_spread":0.2851914388485861,"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."}}