{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002016874,0.0002193389,0.0001847187,0.0003765986,0.0002012707,0.0002207671,0.00033599,0.0003572132,0.001377823],"category_scores_gemma":[0.0005728063,0.0001749529,0.0003492394,0.0003146044,0.0003208637,0.0001894819,0.0001836845,0.0005570666,0.0008863769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016798,"about_ca_system_score_gemma":0.0004235311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468065,"about_ca_topic_score_gemma":0.001399843,"domain_scores_codex":[0.9998708,0.00002129668,0.000008666327,0.00003457069,0.0000372778,0.00002738329],"domain_scores_gemma":[0.9996884,0.0001270979,0.00002640756,0.00003875131,0.00005717636,0.00006210864],"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":[0.00004755294,0.00001629437,0.0001531721,0.00002177637,0.000004143982,0.00001915023,0.00001887681,0.00005094198,0.998158,0.00008239818,0.00002332937,0.001404288],"study_design_scores_gemma":[0.00001262867,0.0001398754,0.002876511,0.000006580045,0.00001129743,0.000132587,0.00001600602,0.000412216,0.9938222,0.0001221623,0.002442432,0.000005426697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488853,0.002728423,0.04279441,0.000337353,0.0000675803,0.0001259908,0.001203694,0.0001876574,0.00366958],"genre_scores_gemma":[0.9587051,0.001083007,0.02417648,0.0001871706,0.00002834483,0.00008826968,0.004982025,0.00006006979,0.01068953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468065,"threshold_uncertainty_score":0.004609287,"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."}}