{"id":"W2094101667","doi":"10.1007/s11940-013-0248-3","title":"Selection of Medications to Prevent Stroke Among Individuals With Atrial Fibrillation","year":2013,"lang":"en","type":"article","venue":"Current Treatment Options in Neurology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"U.S. Food and Drug Administration","keywords":"Medicine; Atrial fibrillation; Intensive care medicine; Stroke (engine); Dabigatran; Clinical trial; Neurology; Drug; Vitamin k; Clinical Practice; Warfarin; Pharmacology; Internal medicine; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008678898,0.000143816,0.0002902492,0.0004878021,0.00005459567,0.00001095312,0.00004488317,0.00006789921,0.0002745668],"category_scores_gemma":[0.00005314556,0.000111376,0.0001134215,0.0004502219,0.0000571951,0.0001189893,0.00002670996,0.00007929093,0.00005353037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007541522,"about_ca_system_score_gemma":0.00006091875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006085338,"about_ca_topic_score_gemma":0.00005958662,"domain_scores_codex":[0.9988778,0.00009556819,0.0003796807,0.0002676583,0.0001954993,0.0001837887],"domain_scores_gemma":[0.9993594,0.0001229641,0.0001443409,0.0001947655,0.00008486642,0.00009365926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009326219,0.00005841478,0.9825417,0.00001456954,0.0001177959,5.515424e-7,0.000121062,0.003633891,0.0001503593,0.0005528743,0.0001293748,0.01258614],"study_design_scores_gemma":[0.001934143,0.001606779,0.9850293,0.00002744076,0.0002591988,0.00000659522,0.00001939677,0.001007777,0.0001837757,0.0000822304,0.009755574,0.0000878323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993091,0.0001221429,0.0003588358,0.003814465,0.0002751029,0.002074578,0.00001127936,0.00004999087,0.0002025435],"genre_scores_gemma":[0.9977682,0.0002799012,0.0009784512,0.00002381997,0.0004005393,0.00004851718,0.0001021889,0.00001341627,0.0003849528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249831,"threshold_uncertainty_score":0.454178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499801197871118,"score_gpt":0.3424888060242015,"score_spread":0.2974907940454903,"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."}}