{"id":"W7115682463","doi":"10.1504/ijics.2026.150534","title":"Designing secure image retrieval with SKDTree and security protocols","year":2025,"lang":"en","type":"article","venue":"International Journal of Information and Computer Security","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Image retrieval; Search engine indexing; Cloud computing; Visual Word; Feature extraction; Image (mathematics); Invariant (physics); Feature (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255431,0.0001279784,0.0001725314,0.000329377,0.00008682342,0.0007776979,0.0006049208,0.00006452284,0.00000441359],"category_scores_gemma":[0.00004546592,0.00009944612,0.00004593098,0.0002413968,0.0000813325,0.003072229,0.0002352741,0.000257251,0.000001725238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005227002,"about_ca_system_score_gemma":0.0001504667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003793842,"about_ca_topic_score_gemma":8.572787e-7,"domain_scores_codex":[0.9987581,0.00005759328,0.0005155738,0.0001139177,0.0004422966,0.0001125407],"domain_scores_gemma":[0.9981532,0.00006989548,0.0004427158,0.0001374376,0.001118435,0.00007835206],"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":[0.001358937,0.0004349122,0.005157955,0.0004580184,0.0006086811,0.0001171645,0.016467,0.00001151172,0.001548915,0.6275782,0.007079219,0.3391795],"study_design_scores_gemma":[0.01399868,0.002991794,0.0314567,0.003259117,0.0001020862,0.003973579,0.001187983,0.3021765,0.2083827,0.2208845,0.209842,0.001744496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005994842,0.00005408057,0.9900728,0.002213434,0.0001874904,0.0006387475,0.000004077157,0.00006001096,0.0007745068],"genre_scores_gemma":[0.7645859,0.0001693869,0.232491,0.002464471,0.0001973905,0.00005196819,0.000007522793,0.000006233071,0.00002615325],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.758591,"threshold_uncertainty_score":0.7499359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006849739055103852,"score_gpt":0.2681066182910869,"score_spread":0.2612568792359831,"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."}}