{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006581364,0.0006627496,0.0006222972,0.001169936,0.000399828,0.0009983986,0.0009900088,0.0009389078,0.002778866],"category_scores_gemma":[0.001673118,0.0002518957,0.0005145415,0.0006227781,0.0006585951,0.001607756,0.001472692,0.0006805508,0.001236516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152936,"about_ca_system_score_gemma":0.0007954684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004242639,"about_ca_topic_score_gemma":0.0005249295,"domain_scores_codex":[0.9991834,0.0001088084,0.0000706624,0.0001446057,0.0004019332,0.00009067722],"domain_scores_gemma":[0.9994247,0.0001212863,0.0000783191,0.0001411448,0.0002107225,0.00002391547],"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":[0.0005398483,0.0001331404,0.0007821044,0.0002105691,0.00005507563,0.0001585042,0.0002141684,0.09308948,0.1711982,0.07861479,0.001969941,0.6530342],"study_design_scores_gemma":[0.00007772465,0.0001993573,0.0004153278,0.00002806423,0.00004003884,0.0004367922,0.00005058952,0.8683872,0.1070386,0.01572422,0.007558123,0.00004402131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006550033,0.0001025118,0.9920533,0.00003807288,0.00002007306,0.00004366176,0.00001620369,0.0003021486,0.0008740035],"genre_scores_gemma":[0.177945,0.0001942754,0.8171172,0.00006249348,0.00004531775,0.0001445341,0.000144875,0.00006944809,0.004276755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002778866,"threshold_uncertainty_score":0.009296179,"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."}}