{"id":"W2539102426","doi":"10.1109/milcom.1990.117406","title":"Acquisition time distribution for Z search strategies in spread spectrum receivers","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; A priori and a posteriori; Probability density function; Spread spectrum; Function (biology); Data acquisition; Process (computing); Algorithm; Spectrum (functional analysis); Sequence (biology); Gaussian; Theoretical computer science; Mathematics; Statistics; Code division multiple access; Telecommunications; Physics","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":[0.0004499347,0.00008142553,0.00009999271,0.0001034064,0.0001164749,0.0002720425,0.000960924,0.00005990472,0.00030261],"category_scores_gemma":[0.00001749507,0.0000802527,0.00003848218,0.0006034806,0.00005294171,0.0008217871,0.0002214859,0.0001535605,0.0003057413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661358,"about_ca_system_score_gemma":0.00003529898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006275866,"about_ca_topic_score_gemma":0.00004208245,"domain_scores_codex":[0.9988216,0.0001394175,0.0001670111,0.0002561216,0.0002613601,0.0003544484],"domain_scores_gemma":[0.9989685,0.0002495957,0.00002685544,0.0006160526,0.00007643913,0.00006253304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005534355,0.0005195198,0.000764585,0.00004867825,0.00002934565,0.00001285468,0.001263293,0.01953093,0.002633538,0.7921364,0.05105696,0.1319486],"study_design_scores_gemma":[0.0003604678,0.00008181176,0.002814304,0.00001615864,6.649783e-7,0.000002751472,0.00006165468,0.9888535,0.001224394,0.004501501,0.001968269,0.000114542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02108036,0.0001388993,0.9499422,0.01084936,0.00005927009,0.000558575,0.00001153042,0.0002206822,0.01713908],"genre_scores_gemma":[0.989913,0.0001294743,0.008140716,0.00004404733,0.00003650374,0.00004246065,0.00005023644,0.000005998319,0.001637587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9693226,"threshold_uncertainty_score":0.3929788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314058112107848,"score_gpt":0.285029523525223,"score_spread":0.2518889424041446,"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."}}