{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006927573,0.0002996478,0.0001941713,0.0004698423,0.0002768309,0.0007479602,0.0003358758,0.0003548766,0.003245664],"category_scores_gemma":[0.004439232,0.0002429633,0.0002394039,0.000485268,0.0005068886,0.001038538,0.0003031499,0.0004082896,0.0005725741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008785387,"about_ca_system_score_gemma":0.0006199184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028206,"about_ca_topic_score_gemma":0.00101561,"domain_scores_codex":[0.9996343,0.00008061939,0.00001171406,0.00003328066,0.0001923159,0.00004774828],"domain_scores_gemma":[0.9977811,0.001437708,0.000317529,0.00009688566,0.0003296609,0.00003707427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007306201,0.00007574145,0.006192897,0.0001990782,0.00006390611,0.0005630648,0.0004121942,0.5783908,0.07381474,0.2144585,0.00186863,0.1232299],"study_design_scores_gemma":[0.00001124204,0.00006560513,0.001260109,0.00001460293,0.00001343823,0.0003859864,0.00003400843,0.9761705,0.009883937,0.01111559,0.001032103,0.00001284746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1151326,0.000401312,0.8773847,0.0001497604,0.00001095897,0.00004224641,0.00004379125,0.0004318424,0.006402923],"genre_scores_gemma":[0.9179999,0.0004260158,0.0761127,0.00007240455,0.00001510171,0.00004344569,0.00007355262,0.0001508445,0.005105977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003245664,"threshold_uncertainty_score":0.01085776,"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."}}