{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004086917,0.0006247072,0.0002990903,0.0004878862,0.0002530852,0.0003478104,0.0007625776,0.001172999,0.001481737],"category_scores_gemma":[0.0005161795,0.0004479367,0.000393293,0.0002350242,0.0002227929,0.0003813006,0.0005914098,0.0005179797,0.001119883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470343,"about_ca_system_score_gemma":0.0004503416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005946392,"about_ca_topic_score_gemma":0.0006465378,"domain_scores_codex":[0.9994612,0.00006077331,0.00002937382,0.0001422219,0.0002647779,0.00004159787],"domain_scores_gemma":[0.9997335,0.00005402484,0.00006568422,0.00002656508,0.00007575658,0.00004438439],"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":[0.00003691288,0.00002241649,0.000135419,0.0000311454,0.0000039365,0.00005960129,0.00001419866,0.00007077471,0.9959973,0.00008961576,0.0001501015,0.003388666],"study_design_scores_gemma":[0.00001954841,0.0002088601,0.0009854733,0.000006770055,0.00001195803,0.000362273,0.000009674313,0.003957546,0.9906489,0.00005301807,0.003713392,0.00002251341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088564,0.001667996,0.1748837,0.001256939,0.0004337287,0.0007930009,0.001362743,0.003501257,0.007244275],"genre_scores_gemma":[0.7303658,0.0005548418,0.2528434,0.0006395926,0.00008491074,0.0005636935,0.0018133,0.0001543061,0.01298018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001481737,"threshold_uncertainty_score":0.004956901,"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."}}