{"id":"W4408928998","doi":"10.1007/978-3-031-82014-4_13","title":"Converse Techniques for Identification via Channels","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Converse; Computer science; Identification (biology); Algorithm; Theoretical computer science; Mathematics; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004892407,0.000291854,0.0003103794,0.0007193129,0.0001062487,0.00015516,0.001338636,0.0003274882,0.00001081194],"category_scores_gemma":[0.00004425949,0.0003264274,0.00008700246,0.0002449822,0.0002956163,0.0002091291,0.0002689802,0.0004324122,0.000007688222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855512,"about_ca_system_score_gemma":0.00008394149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006457314,"about_ca_topic_score_gemma":0.00001839699,"domain_scores_codex":[0.9985978,0.00001002745,0.0004046106,0.0004680415,0.0002586817,0.0002608329],"domain_scores_gemma":[0.9983346,0.0002649334,0.0001030345,0.001027734,0.0002240445,0.00004564362],"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":[0.0000034972,0.0000117272,0.000002428101,0.0002477227,0.00001518397,0.000001988779,0.0003500514,0.006895912,0.002487074,0.01227328,0.0004908626,0.9772203],"study_design_scores_gemma":[0.00008677538,0.00003692641,0.000004278795,0.0005424374,0.00001234768,0.000005629317,1.283278e-7,0.6866648,0.1317957,0.1572185,0.02312584,0.0005065531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007095327,0.0003445704,0.9941937,0.0002271751,0.0007476067,0.0008042187,0.0000163658,0.0009692867,0.002690026],"genre_scores_gemma":[0.3943636,0.0005496572,0.6025058,0.0007104937,0.0004695278,0.0003350791,0.00009079425,0.0001119337,0.0008631008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9767137,"threshold_uncertainty_score":0.9999188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143118215207139,"score_gpt":0.2566956340791031,"score_spread":0.2423838125583892,"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."}}