{"id":"W3120581942","doi":"10.1016/j.thromres.2020.12.027","title":"Quality of anticoagulation using intravenous unfractionated heparin for cerebrovascular indications","year":2021,"lang":"en","type":"letter","venue":"Thrombosis Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Sanofi","keywords":"Medicine; Heparin; Stroke (engine); Intracerebral hemorrhage; Anticoagulant; Ischemic stroke; Intensive care medicine; Internal medicine; Anesthesia; Subarachnoid hemorrhage; Ischemia","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":[0.003527308,0.0003090326,0.0009943164,0.000898589,0.002567867,0.003402875,0.0009665853,0.02698215,0.005251057],"category_scores_gemma":[0.04637131,0.0003809367,0.0007643186,0.001489345,0.001722136,0.001705822,0.0007958505,0.01461055,0.001795083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006526632,"about_ca_system_score_gemma":0.006105691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01704315,"about_ca_topic_score_gemma":0.02813743,"domain_scores_codex":[0.9937774,0.002478306,0.001343092,0.0003902977,0.001376899,0.0006340555],"domain_scores_gemma":[0.9759134,0.01325491,0.002869448,0.0005465498,0.003831515,0.003584167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002061573,0.0001962907,0.03032018,0.0001569013,0.00008615622,0.01201485,0.0006157868,0.0001659538,0.0003755305,0.005965335,0.913694,0.03620287],"study_design_scores_gemma":[0.000808656,0.000468968,0.07061402,0.001888402,0.0003084075,0.03424462,0.00266187,0.003118373,0.0006393082,0.02307351,0.8619353,0.0002385405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00211752,0.0009304523,0.00006408449,0.986641,0.00337847,0.000009489133,0.00005756913,0.000008995979,0.006792507],"genre_scores_gemma":[0.03872677,0.001696161,0.0004403437,0.9189459,0.03433111,0.00003777674,0.00007865663,0.00002555524,0.005717777],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02698215,"threshold_uncertainty_score":0.04735428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2985980876971264,"score_gpt":0.4737310645153635,"score_spread":0.175132976818237,"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."}}