{"id":"W2914317765","doi":"10.1002/bit.26936","title":"Application of a TLR overexpression cell model in pyrogen detection","year":2019,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China; National Science Foundation","keywords":"TLR4; TLR2; Stimulation; Cytokine; CD14; Receptor; Toll-like receptor; Cell; In vitro; Chemistry; Cell culture; Biology; Molecular biology; Immunology; Biochemistry; Innate immune system; Endocrinology","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":[0.0006676144,0.0006312419,0.0006313918,0.0004202857,0.000309407,0.0006415417,0.0004716651,0.0008201711,0.001046865],"category_scores_gemma":[0.0003168598,0.0002747214,0.0005169701,0.0003613826,0.0003234855,0.0005060536,0.0005322823,0.00147688,0.0009286582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027559,"about_ca_system_score_gemma":0.0002325824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003931181,"about_ca_topic_score_gemma":0.0004461061,"domain_scores_codex":[0.9988729,0.0002466577,0.0001722237,0.0002710113,0.0003256347,0.0001114644],"domain_scores_gemma":[0.9994864,0.0001418859,0.00009702553,0.0001337111,0.00008020688,0.00006079258],"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":[0.00006601336,0.0000497924,0.0001295564,0.00002623805,0.000003336684,0.00003472593,0.00001421741,0.0001000532,0.9990333,0.00009466416,0.00003423415,0.0004139084],"study_design_scores_gemma":[0.00000915253,0.0002680637,0.0004291982,0.00000289885,0.00001290316,0.0001523907,0.00001754396,0.002023359,0.9957854,0.00004372733,0.001248185,0.00000718254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698159,0.001657612,0.1214839,0.0005036888,0.0003309709,0.0002969777,0.002367237,0.0004621971,0.003081574],"genre_scores_gemma":[0.9096517,0.001554539,0.07963058,0.0002984209,0.00007035614,0.0003970248,0.002749404,0.00009236363,0.005555526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001046865,"threshold_uncertainty_score":0.003530741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002897255500519714,"score_gpt":0.1765225163329678,"score_spread":0.1736252608324481,"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."}}