{"id":"W4386800686","doi":"10.59380/crj.v1i1.2688","title":"Protection of documents against sophisticated photocopying and scanning","year":2023,"lang":"en","type":"article","venue":"CRJ","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Pantograph; Void (composites); Distribution (mathematics); Algorithm; Iterative method; Mathematics; Engineering drawing; Engineering; Materials science","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":[0.000785053,0.0008393227,0.0005804537,0.001510664,0.00097529,0.001332116,0.001120165,0.0007851862,0.004540304],"category_scores_gemma":[0.003321127,0.0005620712,0.0004799425,0.001128728,0.001084097,0.001569964,0.00104761,0.001094599,0.002777007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005706615,"about_ca_system_score_gemma":0.0007298903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003011471,"about_ca_topic_score_gemma":0.0004879216,"domain_scores_codex":[0.9987887,0.000231886,0.0000702182,0.0002394347,0.0005973323,0.00007239827],"domain_scores_gemma":[0.9975593,0.0006086712,0.0002100498,0.001118316,0.000437994,0.00006569349],"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":[0.0003667469,0.00009557658,0.001059807,0.0002988252,0.00005242481,0.0004158675,0.0003215718,0.01164206,0.2882427,0.03032692,0.00481118,0.6623663],"study_design_scores_gemma":[0.00007645164,0.0004828099,0.001879748,0.00009836714,0.0001135551,0.005817188,0.0001585578,0.2049726,0.696247,0.02387851,0.06613231,0.0001429035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009529067,0.0002394651,0.9858513,0.0001013098,0.000056724,0.00005859995,0.00003273585,0.001406068,0.002724615],"genre_scores_gemma":[0.2171864,0.0005357497,0.7736602,0.0001303738,0.00008373153,0.0001165111,0.0001093346,0.0006067292,0.007570966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004540304,"threshold_uncertainty_score":0.01518881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437296733468784,"score_gpt":0.253309190458273,"score_spread":0.2289362231235852,"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."}}