{"id":"W2966011411","doi":"10.18280/isi.240205","title":"Extended Statistical Analysis on Multimedia Concealed Data Detections","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Statistical analysis; Multimedia; Computer graphics (images); Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007746106,0.000331381,0.0004721013,0.0007966454,0.0003660041,0.0006827578,0.001243084,0.0002470097,0.0001850326],"category_scores_gemma":[0.0003292947,0.0003362124,0.0001536854,0.002035438,0.0003646636,0.008129937,0.0004688137,0.0003880645,0.0005305723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325954,"about_ca_system_score_gemma":0.0001333954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002156598,"about_ca_topic_score_gemma":0.00003444243,"domain_scores_codex":[0.9973403,0.0002419172,0.0008759673,0.0004687542,0.0005003602,0.0005727551],"domain_scores_gemma":[0.9968078,0.0004276505,0.0004640575,0.00179159,0.0003275989,0.0001812937],"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":[0.0001372957,0.0001716605,0.005611924,0.0005246162,0.0009606309,0.00002179657,0.007176981,0.002868117,0.00007620099,0.1163689,0.002035449,0.8640465],"study_design_scores_gemma":[0.0006733559,0.0005008611,0.03977866,0.0003489129,0.0003935486,0.00004506405,0.0002837768,0.9013129,0.0009191902,0.01977746,0.03529027,0.0006760305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01217257,0.0002725343,0.976637,0.0001763474,0.001660203,0.0006107207,0.0006996224,0.0004842077,0.007286771],"genre_scores_gemma":[0.8500246,0.0001295729,0.1480795,0.0003009241,0.00008675188,0.0000381524,0.0009064757,0.00001285877,0.0004211984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8984448,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281709120306543,"score_gpt":0.2832051802311701,"score_spread":0.2550342682005158,"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."}}