{"id":"W4407417126","doi":"10.69525/jasqde.107","title":"Methods of Forgery in Counterfeit Travel Documents","year":2004,"lang":"en","type":"article","venue":"Journal of the American Society of Questioned Document Examiners","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Advertising; Internet privacy; Computer security; Business; Computer science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00353698,0.0007066571,0.0005448031,0.004717386,0.001586011,0.002813513,0.001207374,0.001471228,0.002448518],"category_scores_gemma":[0.01371885,0.0005362777,0.0005483478,0.001778153,0.002258213,0.003128463,0.002186621,0.0008944447,0.001209199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006241302,"about_ca_system_score_gemma":0.0005246571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004972303,"about_ca_topic_score_gemma":0.0007328186,"domain_scores_codex":[0.9958571,0.001366689,0.0002768898,0.0005857432,0.001635665,0.0002779695],"domain_scores_gemma":[0.9909533,0.003589861,0.001090817,0.003159766,0.001096746,0.0001094685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000886551,0.0002707662,0.02842984,0.001639643,0.0002289288,0.002731769,0.02059982,0.003062864,0.07708827,0.06644509,0.003824143,0.7947922],"study_design_scores_gemma":[0.0001334569,0.001500479,0.04312712,0.001466659,0.0003679937,0.05510493,0.01063463,0.03588723,0.6555101,0.04683614,0.1489493,0.0004820299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4932329,0.01299815,0.4530835,0.0009554507,0.0003250667,0.001152355,0.0004482739,0.0008544006,0.03694989],"genre_scores_gemma":[0.7221233,0.003573784,0.2556516,0.0001608162,0.00006206584,0.0002230254,0.0001437815,0.0001077668,0.01795389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004717386,"threshold_uncertainty_score":0.01870561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450294434221256,"score_gpt":0.3098944552355201,"score_spread":0.2953915108933075,"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."}}