{"id":"W2027104069","doi":"10.2308/isys-10090","title":"E-Commerce and Privacy: Exploring What We Know and Opportunities for Future Discovery","year":2011,"lang":"en","type":"article","venue":"Journal of Information Systems","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sophistication; Business; Personally identifiable information; Information privacy; Internet privacy; Privacy policy; E-commerce; Privacy by Design; Key (lock); Consumer privacy; Database transaction; The Internet; Stakeholder; Knowledge management; Computer science; Public relations; Computer security; World Wide Web; Political science","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":[0.01253401,0.0004833987,0.00136028,0.003949171,0.004023644,0.01661935,0.002122734,0.007164169,0.009237459],"category_scores_gemma":[0.01596446,0.0004374131,0.0009440752,0.006106512,0.01976046,0.04351298,0.003836567,0.005998979,0.0007762171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004865565,"about_ca_system_score_gemma":0.01015363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003896154,"about_ca_topic_score_gemma":0.004739074,"domain_scores_codex":[0.9956141,0.00270968,0.0001825234,0.000440784,0.0006116675,0.0004411844],"domain_scores_gemma":[0.9473255,0.04437676,0.001740502,0.001564889,0.003322017,0.001670292],"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":[0.0000840156,0.0002350257,0.004456114,0.002573209,0.00005569316,0.0006793563,0.009388188,0.000642613,0.0002241331,0.7999963,0.02244782,0.1592175],"study_design_scores_gemma":[0.00001681856,0.00005134218,0.001536032,0.004972836,0.00002559503,0.00049503,0.02826925,0.00140354,0.0001860868,0.8294825,0.1335138,0.00004726022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01774386,0.3396103,0.01024981,0.5922514,0.001218664,0.0000401161,0.0001704959,0.00003609758,0.03867919],"genre_scores_gemma":[0.4329515,0.5164362,0.01003793,0.03122179,0.004058789,0.000141067,0.0002271199,0.00002500737,0.004900627],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01661935,"threshold_uncertainty_score":0.06628698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452435556535568,"score_gpt":0.2937306246569871,"score_spread":0.1484870690034302,"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."}}