{"id":"W1988900683","doi":"10.1109/ultsym.2011.0292","title":"Characterization of red blood cell aggregation with photoacoustics: A theoretical and experimental study","year":2011,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Erythrocyte aggregation; Hematocrit; Materials science; Analytical Chemistry (journal); Fibrinogen; Dextran 70; Chemistry; Biomedical engineering; Nuclear magnetic resonance; Dextran; Chromatography; Physics","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":[0.0003529194,0.0002859186,0.0002574251,0.0003410124,0.0002500864,0.0002480288,0.0005369334,0.00046127,0.0006679552],"category_scores_gemma":[0.0009028977,0.0001740061,0.0002164782,0.0002830113,0.0004173076,0.0005024588,0.0001978093,0.0002963908,0.0001527082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209417,"about_ca_system_score_gemma":0.0002224024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009966077,"about_ca_topic_score_gemma":0.0004010574,"domain_scores_codex":[0.9998506,0.00002264126,0.000006333155,0.00002766602,0.00008095615,0.00001173255],"domain_scores_gemma":[0.9996704,0.0001822551,0.00003805126,0.00003224377,0.00006905072,0.000008103674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001105983,0.0001640919,0.002842729,0.000201275,0.00001715365,0.0003776492,0.0001498263,0.104716,0.8679425,0.005804739,0.000267905,0.01740557],"study_design_scores_gemma":[0.00001366313,0.0001910217,0.002343569,0.00000850939,0.00001538763,0.0002886892,0.00004012104,0.6699055,0.3246856,0.001369976,0.001116524,0.00002144964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114131,0.001056295,0.1823596,0.0002889373,0.00001750117,0.00005983999,0.0001256762,0.0002218532,0.004457093],"genre_scores_gemma":[0.969214,0.0006243584,0.02940862,0.00002537229,0.00000985407,0.00004821758,0.0001001049,0.00001147236,0.0005580132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009966077,"threshold_uncertainty_score":0.003054142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005797634959882367,"score_gpt":0.1824832981235932,"score_spread":0.1766856631637108,"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."}}