{"id":"W4297916791","doi":"10.1161/hyp.79.suppl_1.004","title":"Abstract 004: Pro-angiogenic Effects Of The Thrombospondin-1 Inhibitor Lskl In Preeclampsia Models","year":2022,"lang":"en","type":"article","venue":"Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"","keywords":"Angiogenesis; Thrombospondin 1; Preeclampsia; Thrombospondin; Internal medicine; Endocrinology; CD31; Endoglin; Medicine; Placenta; Matrigel; Andrology; Trophoblast; Angiogenesis inhibitor; Neovascularization; Immunohistochemistry; Biology; Fetus; Pregnancy; Metalloproteinase; Matrix metalloproteinase; CD34","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":[0.0002310119,0.0001664034,0.0004119371,0.0001039233,0.0001902867,0.000003800821,0.0001598333,0.00007217255,0.0000318706],"category_scores_gemma":[0.00009133659,0.0001127525,0.0002125325,0.0003775499,0.00007941508,0.00008231172,0.0003280473,0.0003598215,0.000005580985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007628813,"about_ca_system_score_gemma":0.00008737685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006433063,"about_ca_topic_score_gemma":0.00001635517,"domain_scores_codex":[0.9986115,0.0001068999,0.0002943507,0.0002819018,0.0004476592,0.000257767],"domain_scores_gemma":[0.9991576,0.0001577114,0.0001106556,0.0004813713,0.00004782831,0.00004482398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001233509,0.002514132,0.08213706,0.002159964,0.0005081772,0.000528933,0.006891161,0.001613325,0.8790846,0.002908819,0.01470436,0.005715969],"study_design_scores_gemma":[0.004896188,0.0006613872,0.917604,0.001644428,0.0003476904,0.000221483,0.0004673231,0.002039193,0.06645302,0.004051396,0.001248265,0.000365664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98867,0.006852194,0.0000059645,0.0007094521,0.0004731863,0.001076279,0.000008071778,0.00004294516,0.002161899],"genre_scores_gemma":[0.9989192,0.0001107716,0.00008909486,0.000479416,0.00005263017,0.0001305439,0.000006912081,0.00002453126,0.0001869124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8354669,"threshold_uncertainty_score":0.4597912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297346192793044,"score_gpt":0.2394447256989452,"score_spread":0.2097101064196408,"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."}}