{"id":"W33485233","doi":"10.1111/j.1538-7836.2012.04716.x","title":"Diannexin, an annexin A5 homodimer, binds phosphatidylserine with high affinity and is a potent inhibitor of platelet‐mediated events during thrombus formation","year":2012,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; SickKids Foundation; Hospital for Sick Children; McMaster University; University of Toronto","funders":"","keywords":"Phosphatidylserine; Platelet; Annexin A5; Platelet activation; Chemistry; Annexin; Thrombus; Fibrin; Thrombin; Hemostasis; Microvesicle; Prothrombinase; Flow cytometry; Coagulation; Biophysics; Molecular biology; In vitro; Cell biology; Biochemistry; Immunology; Internal medicine; Medicine; Phospholipid; Biology; Microvesicles","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002856097,0.0002022963,0.0003689601,0.0001027853,0.0001321125,0.00002793163,0.0001042555,0.0001362858,0.00002658132],"category_scores_gemma":[0.00002898805,0.0001511406,0.00007889137,0.0001195972,0.00008759821,0.0001122091,0.00008587845,0.0001268827,7.157736e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001670968,"about_ca_system_score_gemma":0.00003460357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005743744,"about_ca_topic_score_gemma":0.00001688117,"domain_scores_codex":[0.9988607,0.0000550956,0.0004294167,0.0001610147,0.0002271502,0.000266648],"domain_scores_gemma":[0.9989175,0.000010787,0.0004739317,0.0001760693,0.000189777,0.0002318991],"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":[0.002348916,0.001806987,0.1344997,0.0004704175,0.001218911,0.0000141948,0.002997959,0.00004624054,0.8407155,0.00005532637,0.001155541,0.01467036],"study_design_scores_gemma":[0.002377804,0.001689459,0.2574808,0.0001266415,0.0001022247,0.0001217301,0.0005470375,0.00001701571,0.736758,0.00003042026,0.0005202736,0.0002286288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971763,0.002092997,0.00008074995,0.0002969664,0.00008735889,0.0001616527,0.0000815317,0.000004480619,0.00001791785],"genre_scores_gemma":[0.9951674,0.003225886,0.001252354,0.0001102692,0.0001761359,0.000003660773,0.00003223768,0.00002288437,0.000009178815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229811,"threshold_uncertainty_score":0.6163334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215890253962684,"score_gpt":0.2621502033102457,"score_spread":0.2399913007706189,"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."}}