{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313435,0.001552445,0.001052567,0.001493714,0.001762224,0.002468637,0.001288487,0.001839997,0.01175077],"category_scores_gemma":[0.003356767,0.0007811487,0.001599046,0.001279577,0.002834025,0.004712763,0.00440331,0.005419402,0.005034181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008130183,"about_ca_system_score_gemma":0.0006889799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003431493,"about_ca_topic_score_gemma":0.0003213051,"domain_scores_codex":[0.9987563,0.0004688897,0.00005133787,0.0002097918,0.0003818228,0.0001319077],"domain_scores_gemma":[0.9985319,0.0009162063,0.00005197258,0.000290452,0.0001679567,0.0000414643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000412528,0.00002785911,0.00004376537,0.0001143131,0.00001439666,0.0001176809,0.0002501771,0.001865291,0.002686266,0.960951,0.007975882,0.02591217],"study_design_scores_gemma":[0.00001113471,0.00003880184,0.00009932258,0.00007372164,0.00003443165,0.0004700093,0.0001131775,0.0176802,0.004596685,0.9452931,0.03155125,0.00003820822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004584516,0.002508245,0.8573622,0.001330722,0.001051463,0.00006299956,0.0001605789,0.0003370286,0.1326023],"genre_scores_gemma":[0.3645639,0.01139701,0.3939111,0.002949641,0.002776346,0.0006486448,0.0006639687,0.0006846939,0.2224047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01175077,"threshold_uncertainty_score":0.03931022,"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."}}