{"id":"W2950819922","doi":"10.1109/tbme.2019.2919192","title":"Multimodal Integrated Sensor Platform for Rapid Biomarker Detection","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Engineering and Physical Sciences Research Council; University of Glasgow; Cancer Research UK","keywords":"Computer science; Systems engineering; Engineering","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":[0.0004140614,0.0008485933,0.0006860198,0.000632145,0.0002545361,0.0006118468,0.00129917,0.001288851,0.005301178],"category_scores_gemma":[0.0003954915,0.0004082166,0.0003934042,0.0003521148,0.0002500933,0.000692547,0.0009755456,0.0008108979,0.00229015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006553933,"about_ca_system_score_gemma":0.0005387263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000451922,"about_ca_topic_score_gemma":0.0007576084,"domain_scores_codex":[0.9994753,0.00005904224,0.0000213905,0.0001803238,0.0002034557,0.00006037119],"domain_scores_gemma":[0.9998517,0.00002086545,0.00002086065,0.00001837619,0.00006451341,0.00002372402],"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":[0.00007540847,0.0000716127,0.0001607982,0.0001576806,0.00002820105,0.00009409794,0.00002576585,0.0005659156,0.9763377,0.001303589,0.001651584,0.0195277],"study_design_scores_gemma":[0.00003584148,0.0007159497,0.0007405329,0.00002519898,0.00006365217,0.0005168091,0.00002760081,0.02325116,0.947706,0.0006013363,0.02624853,0.00006742143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2655488,0.01339109,0.6861538,0.001358764,0.001241635,0.001278028,0.003223245,0.008667626,0.01913705],"genre_scores_gemma":[0.5421448,0.003502116,0.4305485,0.001511242,0.0002246178,0.001611581,0.002276301,0.0001655066,0.01801534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005301178,"threshold_uncertainty_score":0.01773423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009119105489955334,"score_gpt":0.2428011289692551,"score_spread":0.2336820234792997,"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."}}