{"id":"W4403944598","doi":"10.18280/ijsse.140516","title":"Medical Image Authentication Using Statistical Correlations","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Authentication (law); Computer security; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002484453,0.00005639632,0.00007512711,0.000106169,0.000034383,0.000167599,0.0002929116,0.00003559361,0.00003180425],"category_scores_gemma":[0.0000773939,0.00005031732,0.00003727643,0.0001119967,0.00002264411,0.000451721,0.00007463216,0.0002226583,0.000003672082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003833239,"about_ca_system_score_gemma":0.00005761857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003215219,"about_ca_topic_score_gemma":5.964122e-7,"domain_scores_codex":[0.9992049,0.00001097945,0.0002750894,0.00009111928,0.000342168,0.00007575673],"domain_scores_gemma":[0.9994925,0.0002021897,0.0000441607,0.00005643145,0.0001104496,0.00009423748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007645751,0.00003330889,0.00003226639,0.00001895967,0.00008345315,0.0001662607,0.0005625064,0.005200633,0.00123381,0.972891,0.0002319954,0.0195382],"study_design_scores_gemma":[0.00008951849,0.00001016768,0.0004957679,0.0001118922,0.000008248197,0.0005808719,0.000006723701,0.9858297,0.00004594176,0.005077267,0.00769078,0.0000531982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007894769,0.000381402,0.9870786,0.003618047,0.0008950492,0.00002501723,0.000007957121,0.00003237218,0.00006676377],"genre_scores_gemma":[0.9721471,0.0002666927,0.02718631,0.00004862573,0.0003356636,5.572718e-7,0.000003181879,0.000004749314,0.000007084659],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.980629,"threshold_uncertainty_score":0.2051881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007069827646268185,"score_gpt":0.2682699072083384,"score_spread":0.2612000795620703,"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."}}