{"id":"W4415614873","doi":"10.1016/j.apjon.2025.100789","title":"Best evidence summary on anticoagulant management in patients with cancer-associated venous thromboembolism","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Oncology Nursing","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Science and Technology Project of Zhejiang Province","keywords":"Venous thromboembolism; Anticoagulant; Best practice; Anticoagulant therapy; Low molecular weight heparin; MEDLINE; Best evidence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006048551,0.0002577844,0.001194966,0.0007703357,0.0001319032,0.00003069008,0.0002252233,0.000161195,0.00003109316],"category_scores_gemma":[0.00007700962,0.0002063445,0.000122647,0.0006197494,0.000171575,0.0001749416,0.00004068779,0.0005446124,0.000008010501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321627,"about_ca_system_score_gemma":0.0004488917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005315165,"about_ca_topic_score_gemma":0.00003085798,"domain_scores_codex":[0.9977702,0.0001687729,0.0007170363,0.0003124113,0.000524234,0.0005073083],"domain_scores_gemma":[0.9986235,0.0001627946,0.0005179216,0.0002811039,0.0002816309,0.0001330725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004279227,0.0445676,0.3070118,0.0004264775,0.003514144,0.00219545,0.003290077,0.0005101029,0.00019826,0.002714645,0.04750687,0.5837853],"study_design_scores_gemma":[0.006693692,0.007890506,0.9566354,0.01985432,0.001758005,0.00002285543,0.002458787,0.00002684189,0.0001609357,0.0003654905,0.003914089,0.0002191409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474584,0.002283625,0.0000544197,0.00757878,0.001701273,0.0009215937,0.000004172472,0.00002189417,0.03997578],"genre_scores_gemma":[0.9955842,0.00293876,0.0004519782,0.0005733233,0.000089372,0.0000174433,0.000006526891,0.00002667794,0.0003116445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6496235,"threshold_uncertainty_score":0.8414482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201772835081021,"score_gpt":0.3360979984233819,"score_spread":0.3140802700725717,"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."}}