{"id":"W2050870209","doi":"10.1109/jssc.2005.862348","title":"A Monolithic CMOS 2368&amp;lt;tex&amp;gt;$pm$&amp;lt;/tex&amp;gt;30 MHz Transformer Based&amp;lt;tex&amp;gt;$Q$&amp;lt;/tex&amp;gt;-Enhanced Series-C Coupled Resonator Bandpass Filter","year":2006,"lang":"en","type":"article","venue":"IEEE Journal of Solid-State Circuits","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMC Microsystems","keywords":"Passband; Chebyshev filter; CMOS; Ripple; Materials science; Transformer; Resonator; Insertion loss; Electrical engineering; Center frequency; Equivalent series resistance; Band-pass filter; Physics; Optoelectronics; Engineering; Voltage","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00611852,0.006240276,0.007264691,0.004159958,0.00190054,0.002069127,0.005552228,0.00366322,0.007866667],"category_scores_gemma":[0.001620827,0.006370715,0.003951244,0.00544485,0.001711197,0.005084433,0.0001072851,0.008352937,0.007621779],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005351701,"about_ca_system_score_gemma":0.002666102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868942,"about_ca_topic_score_gemma":0.00680261,"domain_scores_codex":[0.9682264,0.002055196,0.0104607,0.004167149,0.006866382,0.008224198],"domain_scores_gemma":[0.9793484,0.002110358,0.004056193,0.005816064,0.004682978,0.003985967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009929643,0.001368594,0.000344502,0.001360016,0.002934837,0.0003950825,0.005274593,0.09458415,0.7800096,0.000237676,0.1064036,0.006094313],"study_design_scores_gemma":[0.01531869,0.0009885496,0.00186529,0.005383968,0.003271169,0.004958251,0.0002057917,0.001446264,0.0817375,0.0048417,0.8691827,0.01080011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6484051,0.01742321,0.2954254,0.001376917,0.0104477,0.004916189,0.004274359,0.002987878,0.01474318],"genre_scores_gemma":[0.9563144,0.004693121,0.006789489,0.001509298,0.005048693,0.0007957685,0.001735626,0.002719331,0.02039426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7627791,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621710482044037,"score_gpt":0.2508865505219312,"score_spread":0.2246694457014908,"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."}}