{"id":"W2959676006","doi":"10.1111/jth.14565","title":"Purification of silica‐free DNA and characterization of its role in coagulation","year":2019,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"McMaster University; Canadian Institutes of Health Research; Hamilton Health Sciences","keywords":"Coagulation; Characterization (materials science); Chemistry; DNA; Chromatography; Computational biology; Medicine; Nanotechnology; Biochemistry; Biology; Materials science; Internal medicine","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":[0.0001828922,0.00005939114,0.0001738094,0.00006703706,0.00001328322,0.000004685724,0.00007990215,0.00009680101,0.000008628403],"category_scores_gemma":[0.00002215175,0.00005306901,0.00003910148,0.00006959885,0.00003786683,0.000008655576,0.00004215936,0.00004123685,1.580996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004264848,"about_ca_system_score_gemma":0.00001745962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004047657,"about_ca_topic_score_gemma":0.000002903545,"domain_scores_codex":[0.9994391,0.00003201126,0.0003112418,0.00009865946,0.00006469971,0.00005427858],"domain_scores_gemma":[0.9993418,0.000006927611,0.0003593657,0.0001457615,0.0001221842,0.00002393938],"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":[0.00003309683,0.0000496961,0.01876934,0.00002914242,0.00002391243,4.200507e-8,0.00004109845,0.000002427432,0.9769318,0.0003506074,0.00002351292,0.003745359],"study_design_scores_gemma":[0.0003306547,0.0002084175,0.2520806,0.00003360302,0.0000202141,0.000004982075,0.0000345141,0.00005831672,0.7461888,0.0001208431,0.0008736477,0.00004534548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986053,0.000391667,0.0004157474,0.0003258646,0.00001563267,0.0001447498,0.0000245802,0.000001056936,0.00007543862],"genre_scores_gemma":[0.9964175,0.00269155,0.0007895672,0.0000333545,0.00001717519,0.000003093575,0.000032408,0.000005529391,0.000009800429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333113,"threshold_uncertainty_score":0.2164091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711358049780374,"score_gpt":0.2791048071323296,"score_spread":0.2619912266345258,"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."}}