{"id":"W3094365018","doi":"10.1109/ims30576.2020.9223914","title":"An SIW Oscillator for Microfluidic Lossy Medium Characterization","year":2020,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"dBc; Resonator; Materials science; Microfluidics; Figure of merit; Phase noise; Sensitivity (control systems); Optoelectronics; Substrate (aquarium); Lossy compression; Noise (video); Electronic engineering; Engineering; CMOS; Computer science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002880108,0.000392474,0.0002717517,0.0002001317,0.0001451296,0.0002868872,0.0006571409,0.0003192897,0.001066024],"category_scores_gemma":[0.0003249048,0.0002079695,0.0001701688,0.0002222144,0.0002716636,0.0004497411,0.0002924853,0.0003466615,0.0004031803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562826,"about_ca_system_score_gemma":0.0003784176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984047,"about_ca_topic_score_gemma":0.0005243096,"domain_scores_codex":[0.9998216,0.00001541392,0.000009316689,0.00006545411,0.00007203441,0.00001630541],"domain_scores_gemma":[0.9998666,0.00002959458,0.00003382193,0.00002192702,0.00003650075,0.00001155986],"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":[0.00001920122,0.000008322988,0.0001191152,0.00003809711,0.00000232731,0.00001759825,0.00001235962,0.00008405479,0.9948266,0.0005328773,0.00008760644,0.00425178],"study_design_scores_gemma":[0.00001389712,0.0002447313,0.000847612,0.000006261529,0.00001079758,0.0001574454,0.00001481596,0.008146808,0.9852871,0.000151309,0.005105555,0.00001365624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6782897,0.00244157,0.3072193,0.0007255417,0.000630271,0.0003465984,0.0007178846,0.001248112,0.008380956],"genre_scores_gemma":[0.815916,0.001004217,0.176855,0.0001634544,0.0000904966,0.0002616212,0.0002764072,0.00004934415,0.005383478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066024,"threshold_uncertainty_score":0.003566206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141428991395011,"score_gpt":0.2173569452177823,"score_spread":0.2032140460782813,"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."}}