{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491961,0.0005371015,0.0005911094,0.002109533,0.0002540246,0.0007002161,0.0005755128,0.0004209743,0.001549338],"category_scores_gemma":[0.007325798,0.0001993688,0.0006353224,0.001187383,0.0005116813,0.0009010921,0.000623334,0.0005846923,0.0004591077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605313,"about_ca_system_score_gemma":0.0006941298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097642,"about_ca_topic_score_gemma":0.001903983,"domain_scores_codex":[0.9987395,0.0002232714,0.00006830807,0.0002441581,0.000617424,0.0001072973],"domain_scores_gemma":[0.9952706,0.002591343,0.0005831604,0.0004099846,0.00104504,0.00009992858],"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":[0.0008207619,0.0002375474,0.03298079,0.0004786053,0.000400722,0.0007914722,0.000459416,0.3989835,0.05514634,0.03508938,0.003297782,0.4713137],"study_design_scores_gemma":[0.00000471136,0.00009518384,0.007345007,0.00001343138,0.00002757128,0.0002095894,0.00003085291,0.9818781,0.006162836,0.00327253,0.0009401939,0.00002003039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1711017,0.0008985279,0.8243772,0.0002942701,0.0001060087,0.00005296264,0.0004518056,0.000667642,0.002049894],"genre_scores_gemma":[0.9341909,0.0009257101,0.05985282,0.00007666611,0.0001340131,0.00007369576,0.0008546743,0.00006943395,0.003822137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003097642,"threshold_uncertainty_score":0.007890344,"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."}}