{"id":"W4409795135","doi":"10.61091/jcmcc127b-402","title":"Application of Generative Adversarial Networks’ Image Information Security Encryption Algorithm in the Behavior Management of Prison Inmates","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Encryption; Prison; Image (mathematics); Generative grammar; Computer science; Artificial intelligence; Computer security; Algorithm; Theoretical computer science; Psychology; Criminology","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":[0.001537403,0.0001311418,0.0004888955,0.0002059716,0.00006864792,0.00003582245,0.000176418,0.00010414,0.000002391614],"category_scores_gemma":[0.0002114987,0.00009235476,0.0001020143,0.0004050483,0.00008870122,0.0001721368,0.00009500395,0.0003134226,3.364707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008162266,"about_ca_system_score_gemma":0.0001001995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175061,"about_ca_topic_score_gemma":1.961489e-7,"domain_scores_codex":[0.9979631,0.0001086938,0.001018134,0.0000859541,0.0006634876,0.0001606561],"domain_scores_gemma":[0.9981953,0.0003310517,0.0007656576,0.0001597051,0.0004798099,0.00006849091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009269585,0.00452466,0.003300469,0.002087779,0.0005613363,0.00004991476,0.004328966,0.00004240926,0.0005303659,0.8883405,0.0001857374,0.09512094],"study_design_scores_gemma":[0.05409697,0.005610764,0.02348014,0.00490458,0.001964931,0.0001065114,0.009457658,0.2099582,0.007780209,0.6816156,0.000544543,0.000479881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857543,0.0002641201,0.1087879,0.0001546106,0.002515483,0.001628355,0.000004007632,0.000008562676,0.0008826225],"genre_scores_gemma":[0.9918774,0.0001200285,0.007777364,0.00001179937,0.0001817059,0.00001645786,0.000009398419,0.0000048687,9.684521e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2099158,"threshold_uncertainty_score":0.3766117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008918010416102646,"score_gpt":0.3017381413606817,"score_spread":0.292820130944579,"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."}}