{"id":"W2005846402","doi":"10.1007/s13239-014-0179-5","title":"Investigating the Effect of Blood Sample Volume in the Chandler Loop Model: Theoretical and Experimental Analysis","year":2014,"lang":"en","type":"article","venue":"Cardiovascular Engineering and Technology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Platelet; Platelet aggregation; Shear stress; Platelet activation; Mean platelet volume; Volume (thermodynamics); In vitro; Chemistry; Biocompatibility; Biomedical engineering; Microparticle; Stent; Biophysics; Materials science; Surgery; Internal medicine; Composite material; Medicine; Thermodynamics; Engineering; Chemical engineering; Biology; Physics; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003980567,0.0001052833,0.0004068913,0.000156295,0.00003332441,0.000006843317,0.00005811768,0.0000916903,0.000001095269],"category_scores_gemma":[0.0001849889,0.00005784009,0.0001392004,0.0003687911,0.0001903101,0.00001170079,0.00003844157,0.0001395144,1.852468e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000435601,"about_ca_system_score_gemma":0.00000313826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842326,"about_ca_topic_score_gemma":6.661086e-7,"domain_scores_codex":[0.999471,0.00003748975,0.00009949879,0.0001551466,0.0001032656,0.0001335674],"domain_scores_gemma":[0.9995581,0.000100129,0.00001370547,0.0002944772,0.000009545598,0.0000240458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128443,0.0004749728,0.5937738,0.000976139,0.05391869,0.0003758531,0.003330325,0.1609982,0.02876837,0.08916772,0.00002607478,0.06807707],"study_design_scores_gemma":[0.004731079,0.0008846335,0.005285039,0.00008040782,0.007735427,0.0004869854,0.0002393963,0.9474387,0.03170442,0.001025956,0.0001565079,0.0002314613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888389,0.006452488,0.004302765,0.0001650745,0.000008208242,0.0001659203,0.000001547827,0.00003304567,0.00003206269],"genre_scores_gemma":[0.9994162,0.0000552515,0.0004490879,0.00001332644,0.000008037548,0.00004326477,0.000004526089,0.00000881914,0.000001451677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7864406,"threshold_uncertainty_score":0.235865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003247785836385598,"score_gpt":0.19855292495907,"score_spread":0.1953051391226844,"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."}}