{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"43f80f8ba80c","filters":{"venue":"Topics in current chemistry collections"}},"results":[{"id":"W4243979637","doi":"10.1007/978-3-030-54806-3_12","title":"DNA strand displacement reaction: a powerful tool for discriminating single nucleotide variants","year":2020,"lang":"en","type":"book-chapter","venue":"Topics in current chemistry collections","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"DNA; Computational biology; Multiple displacement amplification; Displacement (psychology); Nanotechnology; DNA nanotechnology; Biology; Biological system; Computer science; Genetics; Polymerase chain reaction; Gene; Materials science; DNA extraction","authors":[{"name":"Weiyang Tang","is_ca":false},{"name":"Weiye Zhong","is_ca":false},{"name":"Yun Tan","is_ca":false},{"name":"Guan A. Wang","is_ca":true},{"name":"Feng Li","is_ca":true},{"name":"Yizhen Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02564723952861913,"gpt":0.2911000924449666,"spread":0.2654528529163475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955867,0.001466419,0.001144159,0.001400834,0.000434026,0.001481816,0.001578649,0.001415539,0.008823081],"category_scores_gemma":[0.0006476985,0.001112513,0.0005101113,0.0008769868,0.001193399,0.001258561,0.001010258,0.003238009,0.01066702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000454377,"about_ca_system_score_gemma":0.000591177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004217178,"about_ca_topic_score_gemma":0.001511793,"domain_scores_codex":[0.9992819,0.00008217633,0.00002363379,0.0002410386,0.0003207181,0.00005054878],"domain_scores_gemma":[0.9996096,0.000253005,0.00002784838,0.00003014915,0.00003597598,0.0000433473],"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":[0.00009691266,0.00005756602,0.0001363438,0.0004867764,0.00002858584,0.0001452677,0.00009876634,0.0002304121,0.9138892,0.003886501,0.005903742,0.07503988],"study_design_scores_gemma":[0.00003984736,0.0001750213,0.0004064536,0.00004676032,0.000041107,0.0007597898,0.00005065292,0.001733621,0.8837946,0.003256737,0.1096393,0.00005612031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05245779,0.06384291,0.7890809,0.002602611,0.004017293,0.0009480368,0.003984278,0.007524007,0.07554216],"genre_scores_gemma":[0.1457717,0.04282777,0.6139462,0.003555203,0.0006950236,0.001420657,0.005334763,0.001051533,0.1853972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008823081,"threshold_uncertainty_score":0.0295161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}