{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002078622,0.0005871217,0.0007730334,0.002088117,0.0004678468,0.00125064,0.000546774,0.0008294786,0.002130388],"category_scores_gemma":[0.009444129,0.0004502209,0.0007545139,0.001958847,0.0007393587,0.002144126,0.001385824,0.0008880617,0.001214675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112804,"about_ca_system_score_gemma":0.00098592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007180708,"about_ca_topic_score_gemma":0.001075403,"domain_scores_codex":[0.9981615,0.0006649571,0.0001235812,0.0002762959,0.0006368849,0.000136743],"domain_scores_gemma":[0.9946581,0.002234497,0.0009746453,0.0008941409,0.001096297,0.0001423369],"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":[0.001485661,0.0003901345,0.01652132,0.0003343352,0.0004702394,0.0005950123,0.0001900582,0.2298795,0.05652908,0.05270135,0.006397119,0.6345062],"study_design_scores_gemma":[0.00002069622,0.0001685987,0.003253553,0.00002631567,0.00006937197,0.0002864968,0.00002709385,0.9722358,0.01150639,0.01117898,0.001196677,0.00003000241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04812905,0.0005524358,0.9476479,0.0002862074,0.0001058932,0.00007021237,0.000139036,0.0006666584,0.002402574],"genre_scores_gemma":[0.8785016,0.0007041362,0.117445,0.0001389753,0.000196853,0.00008991569,0.0003373479,0.00008138117,0.002504789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002130388,"threshold_uncertainty_score":0.01099294,"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."}}