{"id":"W1944439395","doi":"10.1002/sec.644","title":"Unified phase and magnitude speech spectra data hiding algorithm","year":2013,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Communication source; Algorithm; Information hiding; Magnitude (astronomy); Set (abstract data type); Distortion (music); Embedding; Exploit; Phase (matter); Speech recognition; Data mining; Artificial intelligence; Computer network; Bandwidth (computing); Computer security","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":[0.0003784656,0.0001263561,0.0001348193,0.00006218829,0.0003490885,0.0003331765,0.001424379,0.00008504722,0.00000699328],"category_scores_gemma":[0.000009695794,0.0001225405,0.00001703336,0.0002265147,0.0001372359,0.001238776,0.001482867,0.0003218382,0.000001495466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007158417,"about_ca_system_score_gemma":0.000007924919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000820565,"about_ca_topic_score_gemma":0.00001749055,"domain_scores_codex":[0.9990553,0.0001480067,0.0001872674,0.0003128001,0.00009580417,0.0002008111],"domain_scores_gemma":[0.9979368,0.0001248465,0.00008760934,0.001711023,0.00005375651,0.00008592602],"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":[0.000004964735,0.0001208663,0.0001736615,0.00001296055,0.00002239207,0.000003665816,0.0009405726,0.000005053692,0.00005106063,0.04233636,0.001252147,0.9550763],"study_design_scores_gemma":[0.0005060142,0.00006926338,0.0004391383,0.00006636458,0.00001104025,0.00004399767,0.00009808287,0.8019031,0.0002504979,0.1881253,0.008213453,0.0002737862],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01142009,0.005411972,0.9793371,0.001531815,0.00006034361,0.0003498233,0.000008385653,0.0004087896,0.001471683],"genre_scores_gemma":[0.7189179,0.006484356,0.2741829,0.0002620623,0.00003688543,0.00001753325,0.00008037781,0.000006581257,0.00001141974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9548025,"threshold_uncertainty_score":0.4997056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278782941968127,"score_gpt":0.2801068426826924,"score_spread":0.2573190132630111,"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."}}