{"id":"W2913807143","doi":"10.1101/528778","title":"DNA aptamers for the recognition of HMGB1 from <i>Plasmodium falciparum</i>","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Aptamer; Plasmodium falciparum; Biology; Computational biology; Microscale thermophoresis; DNA; Molecular biology; Genetics; Malaria; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000186,0.0003004685,0.000188677,0.0001733229,0.00009553372,0.0001626579,0.0002400482,0.0003582944,0.001122742],"category_scores_gemma":[0.000333294,0.00015463,0.0001987678,0.0001198245,0.0001984353,0.0001368131,0.0001591902,0.0004081207,0.000488903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277053,"about_ca_system_score_gemma":0.0001301826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002645093,"about_ca_topic_score_gemma":0.0003047339,"domain_scores_codex":[0.9998299,0.0000382218,0.00001028596,0.00004967106,0.00004893425,0.00002294473],"domain_scores_gemma":[0.9998955,0.00002988125,0.0000349875,0.000006524235,0.00001743548,0.00001567888],"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":[0.00003445289,0.000008433773,0.0001310136,0.00003422463,0.000002751817,0.0000156614,0.000009944494,0.0001775374,0.9978065,0.00007459922,0.00002584367,0.001679037],"study_design_scores_gemma":[0.000009102977,0.0001830624,0.001091736,0.000004959242,0.000008747612,0.0001371114,0.00001007713,0.001775001,0.9952845,0.00005460755,0.001436319,0.000004704958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263311,0.002193153,0.06814493,0.0002693044,0.00008820198,0.0001765235,0.0004258406,0.0003580177,0.002012823],"genre_scores_gemma":[0.9658049,0.0005229612,0.03091215,0.0001476292,0.00001229573,0.00008665926,0.000424747,0.0000234339,0.002065161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001122742,"threshold_uncertainty_score":0.003755927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615290653444177,"score_gpt":0.2387686544594262,"score_spread":0.2226157479249844,"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."}}