{"id":"W2093466684","doi":"10.1115/fedsm2013-16270","title":"Microfluidic Based Biosensor for Detection of Cardiac Markers","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biosensor; Troponin complex; Troponin T; Ethylene glycol; Aqueous solution; Materials science; Troponin; Microfluidics; Troponin I; Detection limit; Microchannel; Chromatography; Chemistry; Nanotechnology; Medicine; Myocardial infarction; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004127941,0.00006140373,0.00006667147,0.00001924444,0.00003325082,0.000004475335,0.00004681787,0.00007017712,0.000005030037],"category_scores_gemma":[0.00001859558,0.00005467728,0.00008371254,0.00004251652,0.00003956376,0.000001164697,0.00001440301,0.00001573301,0.000002721757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004691062,"about_ca_system_score_gemma":0.00001201506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388027,"about_ca_topic_score_gemma":0.000001162524,"domain_scores_codex":[0.999629,0.000008580175,0.000099888,0.0001432121,0.00002741115,0.00009187285],"domain_scores_gemma":[0.9996273,0.00000938119,0.0000400269,0.0001968983,0.0001011042,0.00002529191],"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":[0.00001318809,0.00001216979,0.00003409564,0.000007517282,0.000007923649,4.424429e-9,4.365778e-7,4.06611e-7,0.980089,0.00003286577,0.00633354,0.01346885],"study_design_scores_gemma":[0.00007717565,0.0001207329,0.00034366,0.000002467852,0.00000645396,3.249925e-7,0.00001055298,0.00007706893,0.9053626,0.0001006604,0.0938327,0.00006558013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.660784,0.00057332,0.33628,0.0003565113,0.00007263256,0.001086219,0.0000467514,0.00005450761,0.0007460798],"genre_scores_gemma":[0.9632203,0.0001474688,0.03594332,0.0001348973,0.00004546334,0.00009717882,0.00004872147,0.00001169219,0.0003509476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024363,"threshold_uncertainty_score":0.2229675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006781886748927976,"score_gpt":0.2414977695810729,"score_spread":0.234715882832145,"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."}}