{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005959364,0.0000538636,0.00006096198,0.00006422019,0.0005087506,0.0000581125,0.000284705,0.0000592813,0.0008992533],"category_scores_gemma":[0.0002911364,0.00005012735,0.00003794322,0.0004371042,0.00006963252,0.0001411621,0.00005899855,0.0001332048,0.001384671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105827,"about_ca_system_score_gemma":0.00009580536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003851936,"about_ca_topic_score_gemma":0.002949914,"domain_scores_codex":[0.9990796,0.0001145254,0.0000635423,0.000150787,0.0002519847,0.0003394879],"domain_scores_gemma":[0.9996527,0.00007261374,0.00001850167,0.0001708693,0.00002098796,0.00006433846],"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":[0.00005326551,0.00008648899,0.001778047,0.000009161367,0.0000193898,0.000004060274,0.0114875,0.000002454514,0.000315337,0.7297544,0.2395947,0.01689515],"study_design_scores_gemma":[0.0003131614,0.0001017766,0.005731453,0.000005714767,0.000005815109,3.534527e-7,0.007640738,0.0003146241,0.0002361302,0.02686756,0.9586231,0.0001596066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872284,0.00005948828,0.0002281558,0.03851095,0.0005337305,0.0004451176,0.00001790664,0.001133968,0.4718423],"genre_scores_gemma":[0.988722,0.000205069,0.00001634496,0.0009150948,0.0002665856,0.00001655767,0.00002361333,0.000006235542,0.009828454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7190284,"threshold_uncertainty_score":0.9993929,"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."}}