{"id":"W3118472773","doi":"10.1182/blood.2020008801","title":"Ciraparantag: the next anticoagulant airbag?","year":2021,"lang":"en","type":"letter","venue":"Blood","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Anticoagulant; Intensive care medicine; Medical emergency; Internal medicine","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":[0.002070716,0.0007322416,0.001380775,0.001007931,0.003108773,0.004681687,0.001156139,0.04978425,0.01249152],"category_scores_gemma":[0.01552374,0.0005996982,0.001377672,0.0007780174,0.00207595,0.003912296,0.001322391,0.03342004,0.008672275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003986799,"about_ca_system_score_gemma":0.00504994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006564931,"about_ca_topic_score_gemma":0.01254534,"domain_scores_codex":[0.9974985,0.0007376851,0.0003437259,0.0002957827,0.0006776128,0.0004467017],"domain_scores_gemma":[0.9950168,0.00176284,0.0004624083,0.0001276818,0.0007071052,0.001923347],"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":[0.0001530606,0.00006361717,0.00157074,0.0000520627,0.0000247189,0.003365214,0.00009458783,0.000135535,0.0002198707,0.004894237,0.9720492,0.01737719],"study_design_scores_gemma":[0.0003951148,0.0001795296,0.002523196,0.0007352363,0.00006334686,0.006403068,0.000522234,0.001357074,0.000313556,0.02619341,0.961192,0.0001220968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004268053,0.001326746,0.00009632439,0.9820092,0.01102857,0.000009644356,0.00007202574,0.00002425005,0.005006438],"genre_scores_gemma":[0.005505681,0.001758988,0.0003420339,0.9188147,0.06348087,0.00003392647,0.00007289461,0.00002908817,0.009961841],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04978425,"threshold_uncertainty_score":0.04178834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128186362931158,"score_gpt":0.3153463358109673,"score_spread":0.2025276995178514,"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."}}