{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005752224,0.0002230926,0.0002348907,0.0001912621,0.00009149607,0.00003617263,0.0001025112,0.000199526,0.000003634989],"category_scores_gemma":[0.00001152847,0.0002228761,0.0000450938,0.0001426624,0.0002084876,0.000050008,0.00004454617,0.0001707674,0.00000659393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002230106,"about_ca_system_score_gemma":0.000002916463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002497442,"about_ca_topic_score_gemma":0.000006190031,"domain_scores_codex":[0.9990757,0.000003289904,0.0002205057,0.0003024123,0.00003770744,0.0003604547],"domain_scores_gemma":[0.9996367,0.00006158215,0.00001758708,0.0002117803,0.00001944164,0.00005298749],"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":[0.000006731058,0.0000124927,0.0001845145,0.00007630001,0.000027702,0.000003463463,0.0000106958,0.0005490045,0.9873868,0.003664941,0.002584556,0.005492767],"study_design_scores_gemma":[0.001805603,0.00008806366,0.00104963,0.00005355269,0.00008246915,0.0001576861,0.0000327774,0.008762348,0.9122327,0.004361461,0.07060047,0.0007732372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141891,0.001577519,0.18137,0.001750763,0.00005515415,0.00035543,0.00003710312,0.0004656313,0.0001993848],"genre_scores_gemma":[0.9662173,0.00006995216,0.03302333,0.0002894657,0.00008255169,0.0001284073,0.00005282793,0.00004691075,0.0000892723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520282,"threshold_uncertainty_score":0.9088625,"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."}}