{"id":"W2775559428","doi":"10.1161/circgenetics.117.001804","title":"Personalized Anticoagulation","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Aurora Research Institute","keywords":"Medicine; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196236,0.0001215314,0.0003242998,0.00008256038,0.0004037393,0.0001285189,0.0000953515,0.00008882683,0.00009079587],"category_scores_gemma":[0.0001700445,0.0001216631,0.000759383,0.00005891571,0.00008753366,0.0001186331,0.00005206311,0.00005639642,0.00009389276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004496288,"about_ca_system_score_gemma":0.00003356074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008687282,"about_ca_topic_score_gemma":4.990996e-7,"domain_scores_codex":[0.9988457,0.00003745303,0.0002111108,0.000251234,0.0005029971,0.0001514919],"domain_scores_gemma":[0.9985634,0.00001395697,0.0001164581,0.001065575,0.0001577442,0.00008286563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003202449,0.000005071498,0.9394318,0.00006285775,0.001094123,0.00001608724,0.0000738165,0.005024635,0.001578337,0.001680901,0.00009521579,0.05090512],"study_design_scores_gemma":[0.001615061,0.00001247173,0.9227897,0.00001584221,0.0006572679,0.00001758257,0.00001709681,0.007803615,0.0003240224,0.0002217049,0.06639311,0.0001325255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252976,0.00360477,0.05688209,0.001313537,0.0007391277,0.0009210113,0.000002775872,0.0001392226,0.01109987],"genre_scores_gemma":[0.9960865,0.0001979271,0.001871698,0.00006257722,0.001009635,0.000002117442,0.0000423838,0.00002414939,0.0007030253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0707889,"threshold_uncertainty_score":0.4961279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104567021850557,"score_gpt":0.3403709542490333,"score_spread":0.2358039323984763,"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."}}