{"id":"W2183224537","doi":"10.28945/3350","title":"A Novel Application Framework for Image Manipulation and Protection for Internet Applications","year":2009,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Metadata; The Internet; Digital watermarking; Image (mathematics); Embedding; World Wide Web; Web server; Software; JPEG; Image file formats; Computer security; Computer vision; Artificial intelligence; Operating system","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":[0.0009555795,0.0007917552,0.0005337272,0.001233471,0.0006698603,0.001544313,0.001695017,0.00100926,0.002425938],"category_scores_gemma":[0.001278858,0.00037293,0.0007277788,0.0004975871,0.0008014922,0.002826255,0.001409205,0.001424271,0.001245077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028446,"about_ca_system_score_gemma":0.0009531034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258891,"about_ca_topic_score_gemma":0.001217952,"domain_scores_codex":[0.9988939,0.0001281524,0.00007577891,0.0001454424,0.0006530473,0.0001037169],"domain_scores_gemma":[0.9993482,0.00008994719,0.00005968893,0.0001761462,0.0002627315,0.00006328576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005510057,0.0004577367,0.002206064,0.0009077035,0.0001056182,0.001647579,0.0006815543,0.01819506,0.2522016,0.1826785,0.01403329,0.5263343],"study_design_scores_gemma":[0.0001068182,0.0006896092,0.003118033,0.000291821,0.0001947834,0.005014192,0.0002119311,0.4776807,0.2073801,0.03921875,0.2659183,0.0001749741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01255407,0.0007176017,0.9711722,0.0002296821,0.00008385323,0.0003426004,0.00005450567,0.005120993,0.009724432],"genre_scores_gemma":[0.2735091,0.001318949,0.7042616,0.0003058261,0.0001388865,0.0003656184,0.0003513625,0.0006117802,0.01913686],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002425938,"threshold_uncertainty_score":0.00811559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344326283829375,"score_gpt":0.3250223844060945,"score_spread":0.2915791215678008,"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."}}