{"id":"W3094092946","doi":"10.1080/17512433.2020.1841633","title":"Managing blood disorders during the Covid-19 pandemic: current pharmacological insights","year":2020,"lang":"en","type":"article","venue":"Expert Review of Clinical Pharmacology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease; Intensive care medicine; Virology; Outbreak; Infectious disease (medical specialty); Pathology","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":[0.0027187,0.0004122379,0.001363875,0.0008895781,0.0003442065,0.002246501,0.0008598579,0.002144511,0.003293321],"category_scores_gemma":[0.005779712,0.0001999854,0.0008395643,0.0006548988,0.0009053844,0.002293994,0.0008614074,0.004314866,0.001692652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000718207,"about_ca_system_score_gemma":0.00170074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056844,"about_ca_topic_score_gemma":0.003485042,"domain_scores_codex":[0.9990402,0.0003388,0.0001441881,0.0001132315,0.0002737661,0.00008970517],"domain_scores_gemma":[0.9954262,0.002510567,0.0005632616,0.00008497239,0.001166233,0.0002486744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002654227,0.0001548882,0.0004348162,0.01163583,0.0002224332,0.0001646887,0.0001349095,0.0002734973,0.000918574,0.006538772,0.08678978,0.8924664],"study_design_scores_gemma":[0.0002084275,0.0004706851,0.001473078,0.02017133,0.0003369402,0.001231404,0.0002514026,0.0002639433,0.0005286618,0.008435942,0.9665781,0.00005018176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002376233,0.9797943,0.0002933081,0.0165807,0.0009669558,0.00001247978,0.00003239595,0.00001480732,0.002067464],"genre_scores_gemma":[0.002291134,0.9864339,0.0006131554,0.00750197,0.00255023,0.00001516038,0.00003576382,0.000004628856,0.0005540892],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003293321,"threshold_uncertainty_score":0.01437807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301950512873066,"score_gpt":0.5858739940751676,"score_spread":0.3556789427878611,"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."}}