{"id":"W2802626033","doi":"10.1016/j.ultrasmedbio.2018.02.020","title":"Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review","year":2018,"lang":"en","type":"review","venue":"Ultrasound in Medicine & Biology","topic":"Blood properties and coagulation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Erythrocyte aggregation; Medicine; Biomarker; Inflammation; Systemic inflammation; Ultrasound; MEDLINE; CINAHL; Pathology; Radiology; Internal medicine; Biology","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":[0.003757468,0.001438068,0.009210715,0.004716077,0.0003759993,0.002436829,0.001980504,0.002113772,0.002994662],"category_scores_gemma":[0.01595164,0.0008289558,0.007738068,0.005760642,0.0007927355,0.001962901,0.001179346,0.001237002,0.0002852516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110423,"about_ca_system_score_gemma":0.003920272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004653318,"about_ca_topic_score_gemma":0.01348723,"domain_scores_codex":[0.9972843,0.0006184561,0.001085415,0.0004180226,0.0005082044,0.00008552745],"domain_scores_gemma":[0.9886645,0.00863408,0.001830386,0.0001526179,0.0006089727,0.0001094743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0005963749,0.00005392078,0.002818034,0.8780733,0.03950642,0.0001405714,0.000154251,0.0002035477,0.0002915847,0.0002333792,0.001807121,0.07612134],"study_design_scores_gemma":[0.00112116,0.0005941305,0.0186203,0.4549952,0.4965707,0.001050797,0.0004432777,0.0003748196,0.0004236077,0.0007559976,0.02485408,0.0001959643],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006120758,0.9990522,0.00007555912,0.00004750416,0.00003810073,0.00003658936,0.00008202264,0.000002362618,0.00005356595],"genre_scores_gemma":[0.01093943,0.9880304,0.0004195724,0.0003041087,0.00006988785,0.00007735829,0.0001001779,0.000002739199,0.00005639728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009210715,"threshold_uncertainty_score":0.01987159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488086050463793,"score_gpt":0.3405561671504805,"score_spread":0.2956753066458426,"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."}}