{"id":"W2160998022","doi":"10.1109/ispsd.2003.1225241","title":"A high voltage CMOS ADSL line driver","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asymmetric digital subscriber line; CMOS; Bandwidth (computing); Electrical engineering; Electrical impedance; Computer science; Digital subscriber line; Voltage; Line (geometry); Local loop; Electronic engineering; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002275921,0.0003378337,0.0001804093,0.0002309126,0.0002596898,0.0005864006,0.001069648,0.000453273,0.004637217],"category_scores_gemma":[0.0004284075,0.0002218485,0.0001728851,0.0001319418,0.0001982005,0.0005415319,0.0003255584,0.0004384345,0.003165491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006238701,"about_ca_system_score_gemma":0.0006762313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005206512,"about_ca_topic_score_gemma":0.0008975189,"domain_scores_codex":[0.9995438,0.00003727044,0.00001804716,0.00008145226,0.0002782472,0.0000412129],"domain_scores_gemma":[0.9995909,0.00004326913,0.00005669651,0.0000359306,0.0002321327,0.0000410748],"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":[0.0002243023,0.0001120699,0.00191488,0.0002605983,0.00003945146,0.0004390813,0.0002941619,0.001578013,0.8181889,0.008382896,0.02179039,0.1467752],"study_design_scores_gemma":[0.000120052,0.001587588,0.002163689,0.00003146817,0.00007053919,0.002524043,0.00009340167,0.02634555,0.774763,0.001040042,0.1912049,0.00005566747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1705224,0.001308425,0.7356279,0.00183285,0.001058368,0.0007124895,0.0009149668,0.0146266,0.07339589],"genre_scores_gemma":[0.729567,0.0004051874,0.2195654,0.001166238,0.0002691528,0.000234037,0.0006131871,0.0004476395,0.04773215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004637217,"threshold_uncertainty_score":0.015513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960590597080274,"score_gpt":0.2179005360006556,"score_spread":0.2082946300298529,"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."}}