{"id":"W2078653137","doi":"10.1002/mop.22133","title":"Silicon bulk micromachined FBAR filter and duplexer for advanced handset applications","year":2006,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Polytechnique Montréal","keywords":"Duplexer; Insertion loss; Attenuation; Return loss; Materials science; Resonator; Handset; Microwave; Passband; Band-pass filter; Electrical engineering; Optoelectronics; Antenna (radio); Engineering; Physics; Telecommunications; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004712577,0.000406872,0.0003156649,0.0004015153,0.0001861281,0.0004289522,0.0004984565,0.0005829681,0.002060376],"category_scores_gemma":[0.0003991551,0.0002746065,0.0002006765,0.0001959023,0.000254633,0.000473787,0.0001488818,0.0003960948,0.001061267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00057606,"about_ca_system_score_gemma":0.0003729576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005311516,"about_ca_topic_score_gemma":0.001751281,"domain_scores_codex":[0.9997123,0.0000219966,0.00001527647,0.00008451699,0.0001294743,0.00003650186],"domain_scores_gemma":[0.9995103,0.000107086,0.0001228722,0.00006075148,0.0001613887,0.00003766502],"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":[0.00009937692,0.00003253605,0.000292519,0.00007240734,0.00001186876,0.00009648149,0.00003056175,0.0005837827,0.9723703,0.0008569764,0.000823859,0.0247294],"study_design_scores_gemma":[0.00003579373,0.0003786707,0.001872613,0.000009066494,0.00003278536,0.0004738603,0.00001534295,0.01034462,0.9730999,0.0001915779,0.01352546,0.00002026489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440394,0.006411725,0.4294023,0.0005521905,0.0007506385,0.0002232744,0.0004186901,0.002940304,0.01526148],"genre_scores_gemma":[0.706952,0.0008812795,0.2740729,0.0002892322,0.0001747261,0.00009537985,0.0003372526,0.00008633533,0.01711095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002060376,"threshold_uncertainty_score":0.006892681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003955476985864951,"score_gpt":0.1895172622744693,"score_spread":0.1855617852886044,"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."}}