{"id":"W4213018117","doi":"10.1007/s41664-022-00215-1","title":"Special Topic: DNA-Based Biosensors","year":2022,"lang":"en","type":"article","venue":"Journal of Analysis and Testing","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biosensor; Computational biology; DNA; Computer science; Nanotechnology; Biology; Genetics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669724,0.002878738,0.003207142,0.003679334,0.001360455,0.003745659,0.002548608,0.00660654,0.04350802],"category_scores_gemma":[0.001870078,0.0008196692,0.001278318,0.002474553,0.001061819,0.002938449,0.001912069,0.002031684,0.024369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186595,"about_ca_system_score_gemma":0.0007989911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002315175,"about_ca_topic_score_gemma":0.0006002302,"domain_scores_codex":[0.9985369,0.0001480807,0.0001577407,0.0003802909,0.000573185,0.0002038286],"domain_scores_gemma":[0.9983503,0.0003116919,0.0001922019,0.00008669466,0.0005799175,0.0004791884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002524122,0.0001978293,0.0003266653,0.002876222,0.00006334761,0.0004638851,0.00003998219,0.0003126024,0.01311329,0.003070622,0.8522534,0.1270297],"study_design_scores_gemma":[0.00003364656,0.0003577574,0.001383177,0.0002545529,0.00006030342,0.001273468,0.00004972484,0.0007555587,0.005964756,0.001713403,0.9881123,0.00004123214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00339096,0.09722322,0.005100491,0.01793432,0.8157892,0.0002754756,0.0004687093,0.0007612268,0.05905646],"genre_scores_gemma":[0.01530615,0.06387433,0.002162321,0.009521971,0.7054625,0.0002714374,0.001071939,0.0004059925,0.2019234],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04350802,"threshold_uncertainty_score":0.1455488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389070301531685,"score_gpt":0.2605265611142804,"score_spread":0.2466358580989635,"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."}}