{"id":"W2099360393","doi":"10.1002/chem.201500949","title":"Patterned Paper Sensors Printed with Long‐Chain DNA Aptamers","year":2015,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aptamer; 3d printed; DNA; Nanotechnology; Computational biology; Computer science; Engineering; Biology; Materials science; Genetics; Biomedical engineering","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":[0.0002631085,0.0001765144,0.0001373945,0.00002310686,0.00005156703,0.00009710841,0.0001316155,0.00003537089,0.0002250434],"category_scores_gemma":[0.0000362173,0.0001383813,0.00008477801,0.0001086477,0.00005456798,0.00008523948,0.000020892,0.0004902558,0.0001131287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007470378,"about_ca_system_score_gemma":0.00001497337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.520862e-7,"about_ca_topic_score_gemma":3.575788e-7,"domain_scores_codex":[0.9991236,0.00005041317,0.0002210814,0.0001432076,0.0001997648,0.0002619204],"domain_scores_gemma":[0.9993129,0.000008817927,0.0000502954,0.0001608579,0.00007666013,0.0003904419],"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":[0.0002660688,0.0001454507,0.001634072,0.0003044639,0.0007221684,0.004706381,0.001030384,0.02022523,0.9234497,0.000004796993,0.01162596,0.03588534],"study_design_scores_gemma":[0.01295404,0.0008572291,0.01742052,0.001511922,0.0006026365,0.02105693,0.004422669,0.2241986,0.4797862,0.000107137,0.2327219,0.004360184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794387,0.00005790458,0.003611121,0.0001537904,0.0001263383,0.00003027177,0.000002559689,0.0001726975,0.01640662],"genre_scores_gemma":[0.9976801,0.00002385061,0.0002677842,0.00006109354,0.0004435966,4.182674e-7,0.000003045516,0.0000601092,0.001459945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4436635,"threshold_uncertainty_score":0.5643024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144740339176841,"score_gpt":0.1808388312617201,"score_spread":0.1693914278699517,"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."}}