{"id":"W3195443665","doi":"10.1002/anie.202108827","title":"A DNA Nanoflower‐Assisted Separation‐Free Nucleic Acid Detection Platform with a Commercial Pregnancy Test Strip","year":2021,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Jilin Scientific and Technological Development Program; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nanoflower; Nucleic acid; DNA; Pregnancy; Pregnancy test; Chemistry; Computer science; Computational biology; Biology; Biochemistry; Genetics","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":[0.00006257373,0.0001814838,0.0001378415,0.00006278398,0.0001320724,0.00006732589,0.0001659018,0.000177724,0.00002384442],"category_scores_gemma":[0.0002197889,0.0001661503,0.0001094585,0.0001816974,0.00007444179,0.00003349473,0.00008633077,0.0001156054,0.000004238852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008183117,"about_ca_system_score_gemma":0.00007378208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000807374,"about_ca_topic_score_gemma":0.0003597623,"domain_scores_codex":[0.9989197,0.00001500081,0.0002273569,0.000384098,0.0002866329,0.0001671699],"domain_scores_gemma":[0.9989735,0.00001850713,0.0001571612,0.0003093618,0.0004828435,0.00005857514],"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":[0.0001073323,0.0001693329,0.0002219666,0.000009166802,0.0001013902,0.00001862456,0.00001541121,0.000001713658,0.9913881,0.00001248457,0.003075241,0.004879178],"study_design_scores_gemma":[0.0007509892,0.0002035417,0.001376838,0.0001089662,0.00005099364,0.0001336154,0.00004836779,0.00004351188,0.9870266,0.0001600347,0.00987405,0.0002225079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897697,0.0005504852,0.08250364,0.002304396,0.001352501,0.0004775332,0.0008492037,0.0003382868,0.01392697],"genre_scores_gemma":[0.9932318,0.0001693197,0.002078844,0.0002769218,0.0009236893,0.00003525528,0.002517524,0.0000221731,0.000744434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09553485,"threshold_uncertainty_score":0.6775413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276289074405744,"score_gpt":0.270608577429713,"score_spread":0.2578456866856556,"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."}}