{"id":"W4360989186","doi":"10.18280/ria.370124","title":"Image Counterfeiting Detection and Localization Using Deep Learning Algorithms","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Deep learning; Image (mathematics); Computer vision; Pattern recognition (psychology); Algorithm","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":[0.0004439898,0.0001305515,0.0001263456,0.0002374717,0.0003022965,0.0003368169,0.0002063123,0.00006251744,0.000007581618],"category_scores_gemma":[0.0002913479,0.0001447221,0.00003989122,0.001234297,0.00008215899,0.0008696407,0.0001801213,0.0001577417,0.0002741586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006428165,"about_ca_system_score_gemma":0.00001283412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003215008,"about_ca_topic_score_gemma":0.00001224958,"domain_scores_codex":[0.9987313,0.00005113491,0.0002936025,0.0004187871,0.0001925962,0.0003125787],"domain_scores_gemma":[0.9993102,0.000129441,0.0001129298,0.0002432262,0.0001235199,0.00008070029],"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":[0.00000387907,0.0000149275,0.0001610102,0.00004757056,0.000007226933,0.00002403533,0.001641777,0.08115184,0.02491659,0.0007034537,0.000007445354,0.8913202],"study_design_scores_gemma":[0.00002194347,0.00006863939,0.00005249692,0.00005067539,0.00000411365,0.00007047189,0.0006863437,0.9204122,0.07640914,0.001468514,0.0006103227,0.0001451295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07376428,0.00005145706,0.924189,0.00004314165,0.0006479665,0.0001314724,3.889084e-7,0.0004791726,0.0006931311],"genre_scores_gemma":[0.9917658,0.00004833562,0.007842784,0.00002872089,0.0001022573,0.00001061786,0.000002988009,0.00001859637,0.000179927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9180015,"threshold_uncertainty_score":0.5901595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027157267377261,"score_gpt":0.2656719639298126,"score_spread":0.23540039125604,"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."}}