{"id":"W4402450494","doi":"10.1109/tnse.2024.3456103","title":"Hide and Recognize Your Privacy Image","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Information privacy; Computer vision; Image (mathematics); Artificial intelligence; Internet privacy","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":[0.0005018081,0.0006354455,0.0004678314,0.0006316376,0.0005447878,0.00137284,0.0005128699,0.001123304,0.006928795],"category_scores_gemma":[0.00195145,0.0002498335,0.0007578503,0.0004727479,0.0007207978,0.002617522,0.001458897,0.001180475,0.003913085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003895899,"about_ca_system_score_gemma":0.0005182928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294748,"about_ca_topic_score_gemma":0.001470317,"domain_scores_codex":[0.9993617,0.00007564194,0.00002943741,0.0001250762,0.0002961693,0.0001119959],"domain_scores_gemma":[0.999207,0.0001235879,0.0000919834,0.0004133867,0.0001225296,0.00004156639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008716531,0.0001967939,0.004718867,0.0005419704,0.000151467,0.001151639,0.0003507759,0.008852539,0.1031667,0.01149494,0.04035275,0.8281499],"study_design_scores_gemma":[0.0001019752,0.0005743116,0.01291923,0.0003053914,0.0002605376,0.008371079,0.0008902407,0.335582,0.45009,0.04124056,0.1495007,0.0001638721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2646336,0.008440583,0.6292539,0.00941462,0.001465631,0.0004459829,0.00343652,0.01095751,0.07195168],"genre_scores_gemma":[0.8083392,0.004608961,0.1457961,0.001978126,0.0004469998,0.000111926,0.002498021,0.0002878307,0.03593276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006928795,"threshold_uncertainty_score":0.02317917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071795376277857,"score_gpt":0.2107106840613241,"score_spread":0.1999927302985456,"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."}}