{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002017732,0.0003924793,0.0003829021,0.0003403745,0.00016135,0.0002623146,0.0002740008,0.0003485381,0.002574628],"category_scores_gemma":[0.0001406019,0.0001428009,0.0002955494,0.0001620762,0.0002137465,0.0002543278,0.0001666834,0.001046528,0.0004346873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292532,"about_ca_system_score_gemma":0.0003441856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004162446,"about_ca_topic_score_gemma":0.000506487,"domain_scores_codex":[0.9998701,0.00002497256,0.00001472189,0.00002060395,0.00003325624,0.00003636655],"domain_scores_gemma":[0.9998963,0.00001074292,0.00002814589,0.000009282016,0.0000148183,0.00004078988],"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":[0.002106318,0.0006627891,0.0003108149,0.0002401221,0.00002818273,0.0001389385,0.00003464473,0.000145126,0.98937,0.0001582244,0.0004909417,0.006313871],"study_design_scores_gemma":[0.0003367754,0.006046196,0.003217486,0.00002894161,0.0000763292,0.0003899198,0.000051506,0.0008142783,0.9828918,0.0001016052,0.006035186,0.000009998291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859602,0.005083399,0.003510915,0.0005629606,0.0002312189,0.0001329221,0.00120286,0.0003847818,0.002930802],"genre_scores_gemma":[0.9838079,0.004245942,0.003459555,0.0002302762,0.00005828662,0.0002299556,0.001841173,0.00004330201,0.006083605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002574628,"threshold_uncertainty_score":0.00861299,"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."}}