{"id":"W4250803845","doi":"10.3410/f.718395422.793499793","title":"Faculty Opinions recommendation of Antithrombotic therapy for atrial fibrillation: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.","year":2014,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Antithrombotic; Medicine; Atrial fibrillation; Clinical Practice; Thrombosis; Intensive care medicine; Cardiology; Internal medicine; Family medicine","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":[0.001924419,0.001584255,0.001824094,0.004012259,0.0004806522,0.002179654,0.002788562,0.002009022,0.06449009],"category_scores_gemma":[0.023345,0.00076352,0.002051428,0.007151627,0.0002910832,0.001226206,0.00135722,0.002285977,0.03716158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177505,"about_ca_system_score_gemma":0.006459312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02922484,"about_ca_topic_score_gemma":0.06432799,"domain_scores_codex":[0.9981172,0.0003505946,0.0004960496,0.0004102672,0.0005016117,0.0001242912],"domain_scores_gemma":[0.9922815,0.002398439,0.001695471,0.0006990375,0.00224671,0.0006788622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009648513,0.00002343547,0.002410657,0.001812211,0.0001601075,0.00001350757,0.000008298881,0.0001540019,0.0000380249,0.0002623018,0.9906151,0.004405854],"study_design_scores_gemma":[0.002042258,0.00003956727,0.02326008,0.003874333,0.0005823719,0.0001188556,0.00003921135,0.000964124,0.0003689927,0.001779024,0.9668589,0.00007233803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001282209,0.0002627186,0.00007772808,0.0002871928,0.00004232262,0.00002931764,0.9983084,0.000101841,0.0007622749],"genre_scores_gemma":[0.0009501346,0.0005407336,0.000674826,0.0004145407,0.00004695137,0.000245167,0.9959136,0.00005662823,0.00115751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06449009,"threshold_uncertainty_score":0.2157409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317423915687147,"score_gpt":0.4646187612748619,"score_spread":0.3328763697061472,"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."}}