{"id":"W2474075335","doi":"10.1111/jth.13402","title":"Thrombolysis by chemically modified coagulation factor Xa","year":2016,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; McMaster University; Canadian Blood Services; University of British Columbia","funders":"Canadian Institutes of Health Research; McMaster University; Genentech; Heart and Stroke Foundation of Canada","keywords":"Fibrinolysis; Thrombolysis; Plasmin; Chemistry; Fibrin; Plasminogen activator; Tissue plasminogen activator; Pharmacology; Coagulation; Prothrombinase; Thromboelastography; Hemostasis; In vitro; Thrombin; Medicine; Biochemistry; Immunology; Internal medicine; Enzyme; Platelet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004836713,0.0005391748,0.0003170478,0.0003603268,0.0002023502,0.0005541811,0.0004686277,0.0005423534,0.002882902],"category_scores_gemma":[0.0005668881,0.0002650495,0.0006561987,0.0002308164,0.0003420819,0.0003861258,0.0002449455,0.0007985233,0.001190709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029482,"about_ca_system_score_gemma":0.0004490243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005570002,"about_ca_topic_score_gemma":0.0004823042,"domain_scores_codex":[0.9996933,0.00009963864,0.00002361444,0.0000295153,0.00006081461,0.00009323729],"domain_scores_gemma":[0.9999088,0.00001830915,0.00002952406,0.00001700864,0.000009548371,0.00001673334],"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":[0.005672287,0.0006238525,0.0007895958,0.0002742221,0.000272316,0.0007525349,0.0001074634,0.001100676,0.9622844,0.005114111,0.001694935,0.02131356],"study_design_scores_gemma":[0.001177752,0.002496654,0.002224962,0.00002725735,0.0001615777,0.001122767,0.00001683327,0.002283255,0.9815189,0.0006189425,0.008319042,0.00003201664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638621,0.01301081,0.01179234,0.001134889,0.0009845281,0.0002458007,0.0002912382,0.0002206287,0.008457792],"genre_scores_gemma":[0.9892218,0.002771475,0.003031662,0.0001974282,0.000205885,0.00004044061,0.000252131,0.00002539645,0.004253644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002882902,"threshold_uncertainty_score":0.00964427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05919573906968786,"score_gpt":0.3157626301162024,"score_spread":0.2565668910465145,"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."}}