{"id":"W2100403406","doi":"10.1109/glocom.1991.188513","title":"Partial response based analog cellular or mobile radio data modem","year":2002,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Baseband; Narrowband; Computer science; Digital radio; Cellular network; Fading; Computer network; Channel (broadcasting); Base station; Discriminator; Electronic engineering; Telecommunications; Bandwidth (computing); Engineering; Detector","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":[0.000118674,0.0002540939,0.0002169652,0.0002295465,0.0001397408,0.0003545546,0.0005012798,0.0003476241,0.006342524],"category_scores_gemma":[0.0003683011,0.00007039597,0.0001648143,0.0001658432,0.0002217745,0.0003579521,0.0002745416,0.0002427197,0.00156297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162305,"about_ca_system_score_gemma":0.0001144865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002201514,"about_ca_topic_score_gemma":0.0003085071,"domain_scores_codex":[0.9998364,0.00003776019,0.000005696414,0.00002589976,0.00007557956,0.00001856791],"domain_scores_gemma":[0.9998622,0.00003962544,0.00001633614,0.00003045785,0.0000431128,0.000008200983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005075987,0.00006493218,0.0008721093,0.0003644096,0.00003450861,0.0002827042,0.0001332609,0.02174492,0.585144,0.03022149,0.005657672,0.3549723],"study_design_scores_gemma":[0.0001562936,0.002603455,0.002840345,0.00007032218,0.00009653912,0.002409491,0.00008885598,0.3575195,0.4740415,0.01038586,0.149701,0.00008686472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1432491,0.001438931,0.8062153,0.0003273965,0.0002260006,0.000192588,0.0004621501,0.006016178,0.04187222],"genre_scores_gemma":[0.8552634,0.0004129621,0.1178481,0.0002047424,0.00006962729,0.00008994061,0.0003187553,0.0001058881,0.02568663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006342524,"threshold_uncertainty_score":0.02121788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06720322169223779,"score_gpt":0.2643491898938781,"score_spread":0.1971459682016403,"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."}}