{"id":"W4225166627","doi":"10.1149/10701.4517ecst","title":"Technology Innovation: Detection of Counterfeit Region in an Image","year":2022,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Counterfeit; Computer science; Computer security; Digital image; Image (mathematics); Counterfeit Drugs; TRACE (psycholinguistics); Artificial intelligence; Computer vision; Internet privacy; Image processing; Geography","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":[0.0001517552,0.00007261313,0.00009863552,0.0009940985,0.0001276425,0.00002918663,0.0003053273,0.00004327636,0.00001846235],"category_scores_gemma":[0.00001301771,0.00008910588,0.00002570561,0.0036646,0.0000633632,0.0009220664,0.00002083881,0.0002497536,0.000004695051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333022,"about_ca_system_score_gemma":0.00004842029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002325968,"about_ca_topic_score_gemma":0.0001147743,"domain_scores_codex":[0.9991363,0.00003836679,0.0002609162,0.0002320322,0.0001979078,0.0001344543],"domain_scores_gemma":[0.9994162,0.0000197281,0.00009060038,0.0003483101,0.0001065257,0.00001868479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007184558,0.0007694329,0.0003121449,0.00002992672,0.00002380517,0.00004851754,0.001739695,0.008569487,0.2638758,0.01527133,0.00004668691,0.7092414],"study_design_scores_gemma":[0.002346032,0.00315084,0.003835129,0.00004049507,0.00002513342,0.001025125,0.002250538,0.125771,0.8037016,0.03857726,0.01851102,0.0007658554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.315598,0.00001005437,0.6823269,0.0004721108,0.0006754791,0.000124938,0.000003213156,0.0001685582,0.0006208361],"genre_scores_gemma":[0.9975694,0.000001720755,0.002192877,0.00003070592,0.00001235497,0.0001045425,0.000001991284,0.000007617011,0.00007882362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7084755,"threshold_uncertainty_score":0.3633632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316376962031907,"score_gpt":0.2303808574071501,"score_spread":0.217217087786831,"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."}}