{"id":"W2164447433","doi":"10.1177/1076029608326166","title":"Lessons From Ximelagatran: Issues for Future Studies Evaluating New Oral Direct Thrombin Inhibitors for Venous Thromboembolism Prophylaxis in Orthopedic Surgery","year":2008,"lang":"en","type":"review","venue":"Clinical and Applied Thrombosis/Hemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Western University","funders":"American Society of Hematology","keywords":"Ximelagatran; Medicine; Direct thrombin inhibitor; Venous thromboembolism; Warfarin; Cochrane Library; Meta-analysis; Orthopedic surgery; Randomized controlled trial; Low molecular weight heparin; Knee replacement; MEDLINE; Intensive care medicine; Anesthesia; Heparin; Surgery; Internal medicine; Dabigatran; Thrombosis; Atrial fibrillation","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":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002412707,0.001761677,0.01531408,0.000508481,0.0006295145,0.0001290664,0.000457381,0.001647602,0.00006272981],"category_scores_gemma":[0.001193395,0.001378954,0.002788556,0.0009490342,0.00079027,0.0001882171,0.0004466674,0.001279749,0.00003563548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455947,"about_ca_system_score_gemma":0.001246405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234745,"about_ca_topic_score_gemma":0.0001745346,"domain_scores_codex":[0.9904159,0.0004224839,0.004073053,0.002814348,0.0008420099,0.001432168],"domain_scores_gemma":[0.9905629,0.005876309,0.00139602,0.001193929,0.0002882482,0.0006825895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001565139,0.00230494,0.0001568759,0.01329518,0.004336975,0.00001861849,0.0009866314,0.000001254703,0.000003356656,0.000466637,0.0579907,0.9202823],"study_design_scores_gemma":[0.004784334,0.002268064,0.002416498,0.01808366,0.01181659,0.0000198136,0.001642811,0.000008574525,0.00005101921,0.002079658,0.9547983,0.002030646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01422319,0.9690343,0.00002464258,0.00212704,0.002587212,0.01089305,0.0006625804,0.0002496302,0.0001983736],"genre_scores_gemma":[0.001929295,0.982313,0.004785272,0.0007593056,0.005504098,0.002973662,0.001226994,0.000386026,0.0001223255],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9182517,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3421702053444514,"score_gpt":0.5082932220243925,"score_spread":0.1661230166799411,"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."}}