{"id":"W4226312577","doi":"10.1109/jsen.2022.3170507","title":"Fully 3D-Printed Microfluidic Sensor Using Substrate Integrated Waveguide Technology for Liquid Permittivity Characterization","year":2022,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microfluidics; Permittivity; Fabrication; Dielectric; Waveguide; Optoelectronics; Transducer; Substrate (aquarium); Microwave cavity; Electronic engineering; Nanotechnology; Microwave; Electrical engineering; Computer science; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003346316,0.0006006403,0.0005144422,0.0003151528,0.0001341857,0.0006584426,0.000891608,0.0006056426,0.0005194086],"category_scores_gemma":[0.0004856328,0.000413715,0.0006241918,0.0002509723,0.0003078235,0.0008117282,0.0006273112,0.0003325532,0.0005563574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632067,"about_ca_system_score_gemma":0.0003492578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002814539,"about_ca_topic_score_gemma":0.0004867101,"domain_scores_codex":[0.9995492,0.0000472413,0.0000315976,0.0001069564,0.0002362369,0.00002864701],"domain_scores_gemma":[0.9996754,0.00009596341,0.00007650528,0.00005755787,0.00007899729,0.00001552785],"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":[0.00004103791,0.00002154472,0.000398863,0.000134132,0.00001987526,0.0001221242,0.00003894524,0.002643044,0.9758228,0.0006917253,0.0001760907,0.01988987],"study_design_scores_gemma":[0.00001055968,0.000142238,0.0007712613,0.000009551516,0.00002279224,0.0002462603,0.00001879031,0.04204791,0.9535922,0.0001826248,0.0029204,0.00003546014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2173739,0.001654078,0.7746254,0.000173448,0.0002109704,0.0001320332,0.0003590877,0.002506749,0.002964268],"genre_scores_gemma":[0.4613631,0.001379782,0.5339236,0.0001786365,0.00005732142,0.0001837571,0.0003908196,0.00009034995,0.002432632],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.000891608,"threshold_uncertainty_score":0.001909733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668962447641335,"score_gpt":0.24234611442807,"score_spread":0.2156564899516566,"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."}}