{"id":"W2977278540","doi":"10.48550/arxiv.1910.01587","title":"On the security and privacy of Interac e-Transfers","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer security; Payment; Computer science; Internet privacy; Private information retrieval; Oblivious transfer; Cryptography; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01474254,0.0008533457,0.001417036,0.002002214,0.005323452,0.008873599,0.002224508,0.004600787,0.004896136],"category_scores_gemma":[0.05573449,0.0006310188,0.001287492,0.003407937,0.009055397,0.01588687,0.006749457,0.006499997,0.001436531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268782,"about_ca_system_score_gemma":0.003626785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002077653,"about_ca_topic_score_gemma":0.0006494896,"domain_scores_codex":[0.971722,0.01340266,0.001303704,0.003848149,0.007383307,0.002340096],"domain_scores_gemma":[0.899164,0.05867732,0.006096744,0.02785832,0.006741334,0.001462218],"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":[0.0005746225,0.0002033794,0.004992671,0.0003894182,0.0001089505,0.0005701619,0.002243909,0.01341358,0.004122058,0.883283,0.006740502,0.08335759],"study_design_scores_gemma":[0.00006346155,0.0001854784,0.002556274,0.0003135588,0.00009580106,0.001103809,0.001144585,0.07258961,0.007884444,0.8920025,0.02194614,0.0001144341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2106701,0.0100312,0.6355584,0.04240072,0.000613756,0.0003908951,0.001349222,0.0006991642,0.09828652],"genre_scores_gemma":[0.9574543,0.003672569,0.03074985,0.001298242,0.0004329779,0.0001676766,0.0003660336,0.00007879934,0.005779572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9979224,"threshold_uncertainty_score":0.07796693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402329324960404,"score_gpt":0.2270223264635081,"score_spread":0.162999033213904,"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."}}