{"id":"W3033489455","doi":"10.1161/atvbaha.120.314558","title":"Overcoming Barriers","year":2020,"lang":"en","type":"review","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Endothelial dysfunction; Diffuse alveolar damage; ARDS; Endothelium; Diabetes mellitus; Pathogenesis; Immunology; Coronavirus; Myocarditis; Disease; Lung; Internal medicine; Coronavirus disease 2019 (COVID-19); Acute respiratory distress; Endocrinology; Infectious disease (medical specialty)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004347038,0.001069634,0.0006578561,0.001403774,0.002835187,0.0108761,0.002987488,0.005598814,0.4738236],"category_scores_gemma":[0.01588188,0.0003945085,0.001028008,0.001141584,0.001865011,0.007961227,0.009426832,0.00513445,0.332657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613752,"about_ca_system_score_gemma":0.01008554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409738,"about_ca_topic_score_gemma":0.00270009,"domain_scores_codex":[0.9946985,0.001328705,0.0003646681,0.0009997812,0.001734327,0.0008740804],"domain_scores_gemma":[0.9921165,0.001126664,0.0005097632,0.001155691,0.002940922,0.002150486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004986174,0.00005173717,0.0006416507,0.000523387,0.00001406258,0.0003462286,0.0006461348,0.00008339654,0.0004083244,0.04144976,0.8064207,0.1493647],"study_design_scores_gemma":[0.000003707295,0.000007528707,0.0001425753,0.0001624187,0.000002257107,0.0001359385,0.0002267826,0.00001992668,0.00006825093,0.002478482,0.9967476,0.000004415451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001977085,0.006543331,0.009569455,0.09042006,0.02463133,0.0004935003,0.003148281,0.00333724,0.8598797],"genre_scores_gemma":[0.02116419,0.007300229,0.008768415,0.05305016,0.005467225,0.0005993149,0.00372528,0.002186691,0.8977385],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4738236,"threshold_uncertainty_score":0.7505268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328269459189929,"score_gpt":0.4447512235443994,"score_spread":0.3119242776254065,"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."}}