{"id":"W2118656679","doi":"10.1161/atvbaha.113.302917","title":"Supporting Roles of Platelet Thrombospondin-1 and CD36 in Thrombus Formation on Collagen","year":2014,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Center for Translational Molecular Medicine; Hacettepe Üniversitesi; Institut National de la Santé et de la Recherche Médicale; ZonMw; Landsteiner Foundation for Blood Transfusion Research","keywords":"CD36; Thrombus; Platelet; Thrombospondin; Platelet activation; Phosphatidylserine; GPVI; Chemistry; Thrombospondins; In vivo; Cell biology; Internal medicine; Biology; Immunology; Endocrinology; Receptor; Biochemistry; Medicine; Matrix metalloproteinase; Membrane; Metalloproteinase","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":[0.0003096974,0.0001912168,0.0006588684,0.0001516351,0.00007804573,0.00001520953,0.00004639943,0.000156736,0.0000316402],"category_scores_gemma":[0.00004185542,0.0001518376,0.00008186911,0.00012433,0.0001339804,0.00009219807,0.00004630298,0.00006613065,0.000006207098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000208092,"about_ca_system_score_gemma":0.00001154544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006217817,"about_ca_topic_score_gemma":0.0001154194,"domain_scores_codex":[0.9988463,0.00009103968,0.0003748483,0.0003086606,0.00009191766,0.0002872247],"domain_scores_gemma":[0.9994647,0.00007427503,0.0001424811,0.0002082836,0.00003015144,0.00008010002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003205681,0.0005281686,0.7141411,0.0001761155,0.0003673807,8.003291e-7,0.001705877,0.00000338258,0.2736679,0.001773423,0.0000843876,0.007519369],"study_design_scores_gemma":[0.002740304,0.001153133,0.9910249,0.0001534235,0.00008514068,0.000003720418,0.0002607535,0.0004173502,0.003156552,0.0003543404,0.0005064296,0.0001439211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987297,0.00008576994,0.00008527276,0.0003336205,0.0000391733,0.000320758,0.00001386271,0.00002034818,0.0003715164],"genre_scores_gemma":[0.9972882,0.001993334,0.0002692301,0.0003332486,0.00001577402,0.00001604723,0.00006605574,0.00001597167,0.000002092377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2768838,"threshold_uncertainty_score":0.6191757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333717200442826,"score_gpt":0.2967408744677752,"score_spread":0.2734037024633469,"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."}}