{"id":"W4388105430","doi":"10.18280/ts.400525","title":"Secure Image Retrieval and Sharing Technologies for Digital Inclusive Finance: Methods and Applications","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Information retrieval; Computer vision","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":[0.001092064,0.0001350933,0.0001981542,0.0002399888,0.0004395405,0.0004528396,0.0006883355,0.0001178041,0.00001638009],"category_scores_gemma":[0.0006303882,0.0001061376,0.00004511335,0.001077762,0.0003387064,0.0003861153,0.00106752,0.000124723,0.00002317135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001958002,"about_ca_system_score_gemma":0.00001939969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001437139,"about_ca_topic_score_gemma":0.000001827517,"domain_scores_codex":[0.9984714,0.0000119477,0.0003647902,0.0006106913,0.0002905357,0.000250685],"domain_scores_gemma":[0.9984268,0.0008220733,0.0001391898,0.0004474011,0.0001310011,0.00003356352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000034272,0.00003947498,0.0005242961,0.0000217273,0.00002096869,0.000001592825,0.0001873729,0.00001023509,0.01169667,0.08566099,0.007657192,0.8941452],"study_design_scores_gemma":[0.000540781,0.000119129,0.002800031,0.00001520968,0.00002147021,0.00001001583,0.00519588,0.00893312,0.009519561,0.6209813,0.3515964,0.0002670076],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508922,0.000689066,0.828532,0.01385536,0.00005078802,0.002278395,0.00165367,0.001369152,0.0006794417],"genre_scores_gemma":[0.9177065,0.0004055132,0.08038834,0.00008347072,0.00007372772,0.0008591584,0.0001198103,0.00002061038,0.0003428518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8938782,"threshold_uncertainty_score":0.4366742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128725283278505,"score_gpt":0.4220165475667924,"score_spread":0.3091440192389419,"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."}}