{"id":"W2008006139","doi":"10.1049/el:20010257","title":"Polynomials for generating selection sets withcomplementary quotientsin guided scrambling line coding","year":2001,"lang":"en","type":"article","venue":"Electronics Letters","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scrambling; Quotient; Coding (social sciences); Mathematics; Selection (genetic algorithm); Line (geometry); Algorithm; Arithmetic; Discrete mathematics; Theoretical computer science; Computer science; Pure mathematics; Artificial intelligence; Statistics","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":[0.0004519182,0.0002135238,0.0002143593,0.0001537721,0.0002598003,0.00007691514,0.0001364141,0.00005874764,0.00002782775],"category_scores_gemma":[0.00001476537,0.0002407341,0.00009817733,0.000267604,0.00001380929,0.000167511,0.00001239891,0.0001878921,0.000007482953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592402,"about_ca_system_score_gemma":0.00001790915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002066831,"about_ca_topic_score_gemma":0.00007773357,"domain_scores_codex":[0.9985452,0.00005106799,0.0003848269,0.0002366507,0.0001365675,0.0006456728],"domain_scores_gemma":[0.999639,0.00005670372,0.00006807186,0.0001432659,0.00003087165,0.00006208144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003251312,0.00001552241,0.001010635,0.00005560305,0.0001413838,0.000002600396,0.0001743694,0.128462,0.8575166,0.00114594,0.009313065,0.002129688],"study_design_scores_gemma":[0.002628039,0.0003112557,0.0001364451,0.0001409414,0.0001201123,0.0001547657,0.0001614919,0.7073386,0.2397234,0.0006441,0.04752496,0.00111586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9022425,0.0004309279,0.09556085,0.0003920319,0.0005190314,0.0004158663,0.000008311773,0.000323838,0.0001066922],"genre_scores_gemma":[0.9954802,0.00004057748,0.002739288,0.0009707681,0.0005051513,0.0000762367,0.00008279761,0.00006690232,0.00003807091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6177933,"threshold_uncertainty_score":0.9816853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245032863502792,"score_gpt":0.25494390680489,"score_spread":0.232493578169862,"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."}}