{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004412023,0.0008060773,0.006384521,0.0004860215,0.00006799144,0.00001129866,0.0003724703,0.0004382545,0.0002409812],"category_scores_gemma":[0.01057579,0.0005051738,0.000464784,0.0005878364,0.0007128924,0.00009682623,0.00004656068,0.0006530309,0.0001170404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151464,"about_ca_system_score_gemma":0.0006905599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002531727,"about_ca_topic_score_gemma":0.00002793627,"domain_scores_codex":[0.9926829,0.00166598,0.003534632,0.0008228635,0.0007827284,0.0005108338],"domain_scores_gemma":[0.9939994,0.001592259,0.002385681,0.0009735398,0.000875832,0.000173354],"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":[0.00008398431,0.0001024637,0.0001973003,0.9816238,0.0007736567,0.0000152336,0.0002972221,3.219253e-8,0.0004546845,0.0001815729,0.005417051,0.01085296],"study_design_scores_gemma":[0.0008913859,0.001040689,0.00001268478,0.8581973,0.007272788,0.002225094,0.0002211631,0.000003598528,0.00001150203,0.00008674066,0.1296276,0.0004093963],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001946108,0.9918689,0.0001102705,0.0001480638,0.0004757696,0.006195414,0.00003250452,0.0000573304,0.0009171869],"genre_scores_gemma":[0.001766521,0.9956478,0.00008614048,0.0005681821,0.0002401772,0.0007377315,0.0006604213,0.00008783492,0.0002051547],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1242106,"threshold_uncertainty_score":0.99974,"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."}}