{"id":"W2969957202","doi":"10.1109/tcsii.2019.2936661","title":"Topographical Field Map Analysis Tool for Designing Linear LC DCOs","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Carleton University","keywords":"Linearity; Field (mathematics); Least significant bit; Computer science; Mathematics; Engineering; Statistics; Electronic engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000163191,0.0002978851,0.0004977478,0.0004470341,0.0002388214,0.00006023366,0.0003404187,0.0002900647,0.00008118781],"category_scores_gemma":[0.000009484527,0.0003012937,0.0003330359,0.0005980443,0.00003619182,0.0002477852,0.00000304934,0.0003539922,0.00003840057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006964013,"about_ca_system_score_gemma":0.00001442905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000291203,"about_ca_topic_score_gemma":0.000007103062,"domain_scores_codex":[0.9983428,0.00003043624,0.0004765636,0.000426464,0.0002728958,0.000450828],"domain_scores_gemma":[0.9988422,0.000309745,0.00006612836,0.0006409668,0.00007325803,0.00006766927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003284992,0.0001398391,0.000285981,0.0005321835,0.001583651,0.0000059233,0.0003867371,0.9385292,0.03796277,0.0005355138,0.0009979577,0.01900739],"study_design_scores_gemma":[0.004374661,0.001613309,0.0001447265,0.001041676,0.002229177,0.00003568162,0.001859639,0.3616088,0.4797103,0.0004468838,0.1436199,0.003315251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04193452,0.0002444708,0.9536162,0.00003724613,0.001878256,0.0008628748,0.0001034399,0.001015982,0.000306997],"genre_scores_gemma":[0.9962867,0.00005999615,0.001647417,0.00005153278,0.00009520627,0.0005275926,0.000008993742,0.00005472295,0.001267774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9543523,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429875381586736,"score_gpt":0.2389328666536938,"score_spread":0.2246341128378265,"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."}}