{"id":"W2135959218","doi":"10.1109/ahs.2008.73","title":"Fragile IP Watermarking Techniques","year":2008,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Digital watermarking; Reuse; Overhead (engineering); Process (computing); Intellectual property; Block (permutation group theory); Component (thermodynamics); Finite-state machine; Embedded system; Engineering; Algorithm; Artificial intelligence","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":[0.00008396494,0.0001025102,0.0001168081,0.00006896119,0.00027201,0.00005548022,0.0005251713,0.0000437403,0.0001038793],"category_scores_gemma":[0.00001163109,0.00008133931,0.00007060677,0.0002823593,0.00004705581,0.0005801197,0.0002560751,0.0001279307,0.0002154212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002676661,"about_ca_system_score_gemma":0.00003847366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007737575,"about_ca_topic_score_gemma":0.000004122675,"domain_scores_codex":[0.9991288,0.00002614994,0.0001248547,0.0002776343,0.0001964791,0.000246058],"domain_scores_gemma":[0.9993466,0.00003435181,0.00002535018,0.0004446143,0.00006596681,0.00008307418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001475674,0.0007291794,0.002488784,0.00003511435,0.00005505047,0.0002721601,0.002327347,0.00001634116,0.01282167,0.6392761,0.1356797,0.2062839],"study_design_scores_gemma":[0.0002299661,0.0001606399,0.005614225,0.00002157751,0.000005232831,0.0001493824,0.00001357342,0.009815018,0.1601419,0.04439436,0.7789038,0.0005503046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02797252,0.00003482085,0.8065524,0.0009110845,0.0003381796,0.0001361104,0.0000014918,0.001534675,0.1625187],"genre_scores_gemma":[0.9619037,0.00002430525,0.03465313,0.0008357798,0.0001750948,0.00002011574,0.000002378146,0.000006326207,0.002379205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9339312,"threshold_uncertainty_score":0.3316921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572379418454563,"score_gpt":0.2066119724200441,"score_spread":0.1908881782354984,"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."}}