{"id":"W2125673305","doi":"10.1109/4234.901808","title":"An improved hashing function for IS-2000 quick paging channel","year":2001,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Paging; Computer science; Hash function; Channel (broadcasting); Function (biology); Algorithm; Computer network; 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":[0.0003152654,0.0001370843,0.0001221787,0.0001245192,0.0007440976,0.0003208792,0.002596788,0.00005058901,0.000005092343],"category_scores_gemma":[0.00001164939,0.0001374227,0.00006580847,0.0002923748,0.00005439621,0.001514339,0.0002884471,0.0001855448,0.00002052843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000735849,"about_ca_system_score_gemma":0.00004267344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001387903,"about_ca_topic_score_gemma":0.00003075827,"domain_scores_codex":[0.9989207,0.00009116218,0.0002386821,0.0003356487,0.0001306853,0.0002831549],"domain_scores_gemma":[0.9963639,0.0001320363,0.0001229623,0.003206222,0.00008283203,0.00009200706],"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":[0.00008666874,0.0008504236,0.0005808421,0.00004802215,0.0001345979,0.000005144174,0.01234861,0.002072404,0.3706816,0.005313589,0.0696721,0.538206],"study_design_scores_gemma":[0.0004656968,0.00007414498,0.0005395979,0.00003352908,0.00001362507,0.00001068128,0.0001021318,0.9300979,0.0009559789,0.0008878542,0.06655207,0.0002667505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008388737,0.0001848864,0.9726242,0.01767817,0.0004785914,0.0002729853,0.00001268662,0.0002488876,0.0001108912],"genre_scores_gemma":[0.758085,0.0001282119,0.2257493,0.0153434,0.000261696,0.0001994691,0.0001134823,0.00002851736,0.00009094425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9280255,"threshold_uncertainty_score":0.5723072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138638801021296,"score_gpt":0.2920228608055903,"score_spread":0.2506364727953773,"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."}}