{"id":"W1561273677","doi":"10.1111/j.1538-7836.2005.01280.x","title":"HISTORICAL SKETCH: The discovery of TAFI","year":2005,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Alberta","funders":"","keywords":"Sketch; Computational biology; Data science; Computer science; Biology","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":[0.007931748,0.001046284,0.001048403,0.002739669,0.002784153,0.00624254,0.001863094,0.00691733,0.006848534],"category_scores_gemma":[0.01225266,0.0006699465,0.0006286914,0.001791978,0.01895677,0.01245665,0.003438225,0.01598462,0.003230703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003792993,"about_ca_system_score_gemma":0.003896457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313105,"about_ca_topic_score_gemma":0.002188529,"domain_scores_codex":[0.9984426,0.0005391548,0.0001302823,0.0003896383,0.0003234416,0.0001749718],"domain_scores_gemma":[0.9948418,0.00302618,0.0002454775,0.0006315411,0.0008634934,0.0003915087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002274025,0.00007865555,0.0004148192,0.0006699667,0.00003243335,0.0008754028,0.001620159,0.000220276,0.0007342449,0.7609801,0.1576004,0.07654618],"study_design_scores_gemma":[0.00002047163,0.00004476445,0.000168724,0.00045478,0.00001332528,0.0008751166,0.0002803694,0.00008397794,0.0004432957,0.09115531,0.9064245,0.00003539792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.004075611,0.5786394,0.008416311,0.3080727,0.04062261,0.00005773517,0.0003886766,0.000159294,0.05956767],"genre_scores_gemma":[0.09401131,0.5619757,0.01091742,0.1675797,0.09573135,0.0002624344,0.0003859163,0.0002251378,0.06891108],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007931748,"threshold_uncertainty_score":0.0419476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07080215918147023,"score_gpt":0.3178382888077271,"score_spread":0.2470361296262568,"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."}}