{"id":"W4306250363","doi":"10.32920/21262539.v1","title":"An 8-bit digital-to-time converter with pre-skewing and time interpolation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Toronto Metropolitan University","funders":"CMC Microsystems","keywords":"Linearity; Computer science; CMOS; Interpolation (computer graphics); Latency (audio); Electronic engineering; Inverter; Time-to-digital converter; Voltage; Electrical engineering; Engineering; Telecommunications; Jitter; Clock signal","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":[0.0001806811,0.0002917606,0.0002113998,0.0003651323,0.0003265444,0.0007532843,0.0005612166,0.0004269101,0.004370691],"category_scores_gemma":[0.0004984836,0.000170901,0.0002119464,0.000455177,0.0001634504,0.0005663146,0.000186859,0.0004813546,0.001210949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746504,"about_ca_system_score_gemma":0.0005380926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000771492,"about_ca_topic_score_gemma":0.001366424,"domain_scores_codex":[0.9997548,0.00002322331,0.00001500761,0.00005523002,0.0001260885,0.00002563149],"domain_scores_gemma":[0.9997831,0.00004572566,0.00002383903,0.00004649262,0.00008701519,0.00001389088],"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":[0.0004317873,0.0001329569,0.001356157,0.0003095772,0.00004333976,0.0006438098,0.0002227461,0.01097236,0.7278661,0.01426585,0.003287078,0.2404685],"study_design_scores_gemma":[0.00009663353,0.001235638,0.001871903,0.00006403829,0.000110308,0.003544202,0.00007180353,0.129498,0.7596908,0.002240592,0.1014794,0.00009666092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2320138,0.001088539,0.7142541,0.0004958345,0.000635082,0.00031707,0.0006576412,0.006487614,0.04405023],"genre_scores_gemma":[0.6936495,0.0005499459,0.2861345,0.0002962819,0.0001241786,0.00008076309,0.000376042,0.0001991079,0.01858974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004370691,"threshold_uncertainty_score":0.01462144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546942878627982,"score_gpt":0.196238653519538,"score_spread":0.1896917106409101,"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."}}