{"id":"W2100589960","doi":"10.1145/2499926.2499927","title":"SafeVchat","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Key (lock); Offensive; Computer security; Artificial intelligence; Human–computer interaction; Multimedia; Computer vision; World Wide Web; Operations research","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":[],"consensus_categories":[],"category_scores_codex":[0.00004534247,0.0001501087,0.000136068,0.0006203669,0.00007965786,0.00006390805,0.001873323,0.0001880455,0.0001260183],"category_scores_gemma":[0.00001255496,0.0001342737,0.00008182402,0.0006011528,0.0001256688,0.0004511691,0.00004868284,0.0003432578,0.0003462222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021261,"about_ca_system_score_gemma":0.000008037244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003252277,"about_ca_topic_score_gemma":0.000006475595,"domain_scores_codex":[0.9990582,0.00001965219,0.0001835902,0.0003581991,0.00009946001,0.0002808859],"domain_scores_gemma":[0.9986241,0.0000492678,0.00004621664,0.001178685,0.00005741813,0.00004425426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004844057,0.0001221581,0.0001522925,0.000005731831,0.00003991255,0.00001095927,0.0001516936,0.00001842487,0.002111876,0.07530038,0.001110124,0.9209716],"study_design_scores_gemma":[0.0002727587,0.0005201709,0.0002167225,0.00005694028,0.00000696609,0.0001251498,0.00004448345,0.002382215,0.3438801,0.6251072,0.0270136,0.0003736839],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008819386,0.00003262469,0.981371,0.005923827,0.0002525112,0.0001923127,0.00000101062,0.002377535,0.001029816],"genre_scores_gemma":[0.8114462,0.00003129043,0.1874483,0.0003495752,0.000006482059,0.0001274618,4.66273e-7,0.000009155696,0.0005810775],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9205979,"threshold_uncertainty_score":0.5475523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076984239509548,"score_gpt":0.2365056752800874,"score_spread":0.2257358328849919,"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."}}