{"id":"W2890641318","doi":"10.3390/mi9090453","title":"Characterization and Integration of Terahertz Technology within Microfluidic Platforms","year":2018,"lang":"en","type":"article","venue":"Micromachines","topic":"Terahertz technology and applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polydimethylsiloxane; Materials science; Microfluidics; Polymer; Terahertz radiation; Polystyrene; Polyethylene; Polycarbonate; Absorption (acoustics); Polyethylene terephthalate; High-density polyethylene; Polymer chemistry; Optoelectronics; Nanotechnology; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00003743998,0.00009434667,0.0001063266,0.0001714828,0.00005644544,0.000007862824,0.00009421491,0.0001108837,0.00001456256],"category_scores_gemma":[0.000008540672,0.0000807934,0.00001083944,0.0001973343,0.00017797,0.00008691051,0.00002328717,0.00009247791,0.00001373253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008592088,"about_ca_system_score_gemma":0.000003484923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005861232,"about_ca_topic_score_gemma":0.00001577646,"domain_scores_codex":[0.9996076,0.000002174999,0.0001736418,0.0001055178,0.00002416975,0.00008684581],"domain_scores_gemma":[0.9997599,0.000006447719,0.0000372541,0.0001504622,0.00003258457,0.0000133403],"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":[0.000003940264,0.00001151546,0.002181073,0.00001073971,0.00001039069,1.728148e-7,0.0001968097,1.185911e-7,0.931279,0.002073043,0.00006771967,0.06416547],"study_design_scores_gemma":[0.0001395941,0.00006759797,0.009435242,0.00002260224,0.000007394152,0.00002402278,0.00002552736,0.001065577,0.9816181,0.002095002,0.005409442,0.00008991959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760706,0.0003245676,0.02281021,0.0001288301,0.00009377263,0.0001050598,0.00001535488,0.0003690179,0.00008252424],"genre_scores_gemma":[0.9979466,0.00007496807,0.001787729,0.00002303286,0.00003449668,0.00001971418,0.00003707889,0.0000148465,0.00006150243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06407555,"threshold_uncertainty_score":0.3294659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005494307019957066,"score_gpt":0.2102992704679097,"score_spread":0.2048049634479526,"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."}}