{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009441898,0.0006426724,0.0005882779,0.003660895,0.0006004351,0.001497755,0.00101562,0.001440502,0.001608353],"category_scores_gemma":[0.004462396,0.000231478,0.000540859,0.00167082,0.0009031558,0.002440048,0.001087931,0.0007005212,0.001428443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113661,"about_ca_system_score_gemma":0.0007458609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006590949,"about_ca_topic_score_gemma":0.0005757707,"domain_scores_codex":[0.9982693,0.0002415331,0.00009129471,0.0003224017,0.0008704264,0.0002051034],"domain_scores_gemma":[0.9978947,0.0005580209,0.0004395315,0.0003231304,0.0007045906,0.00008007555],"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":[0.000268451,0.0001921125,0.02579515,0.001173734,0.0001173293,0.002938701,0.001080522,0.005123795,0.1300806,0.01437684,0.007582284,0.8112703],"study_design_scores_gemma":[0.00003448202,0.001185817,0.04673654,0.000674926,0.0004431231,0.03056659,0.00233612,0.2130945,0.5968772,0.02040814,0.08743957,0.0002029708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3370447,0.01474011,0.5963436,0.00258697,0.0006565552,0.0006026113,0.0005236327,0.002256249,0.04524561],"genre_scores_gemma":[0.8305337,0.008007767,0.1502419,0.0005419324,0.000266351,0.0001592473,0.0005008825,0.00006631873,0.009681884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003660895,"threshold_uncertainty_score":0.005380452,"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."}}