{"id":"W4409644252","doi":"10.1016/j.jvscit.2025.101811","title":"Beyond summarizing: A guide to literature review in vascular surgery","year":2025,"lang":"en","type":"editorial","venue":"Journal of Vascular Surgery Cases and Innovative Techniques","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Intensive care medicine; Data science; Bioinformatics; Computer science; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02568409,0.004525129,0.006886115,0.02179438,0.004661385,0.01749844,0.005532394,0.01329236,0.01046318],"category_scores_gemma":[0.1233476,0.001723807,0.003565269,0.007944286,0.005353004,0.01048051,0.003853165,0.01747863,0.01047437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00581676,"about_ca_system_score_gemma":0.01373097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003006668,"about_ca_topic_score_gemma":0.01034468,"domain_scores_codex":[0.9772842,0.008051698,0.007031488,0.00111923,0.005863911,0.0006495204],"domain_scores_gemma":[0.8422622,0.08333603,0.009949902,0.002463771,0.05426175,0.007726382],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002677861,0.00001858785,0.00003963423,0.002069736,0.00004518444,0.0001087587,0.00008192917,0.00002787098,0.00007390961,0.0005350568,0.98248,0.01449257],"study_design_scores_gemma":[0.00006745138,0.00003976756,0.0002158813,0.01086323,0.0001587105,0.0004974155,0.0002281742,0.0001597647,0.00007807509,0.003183514,0.9844539,0.00005424364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005262776,0.08606006,0.00134539,0.07085523,0.8390755,0.0002371819,0.000179781,0.0002066188,0.001987619],"genre_scores_gemma":[0.0003421657,0.04882263,0.001845697,0.0536714,0.8903252,0.0003711896,0.0001102526,0.0001024205,0.004408926],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9743159,"threshold_uncertainty_score":0.1358321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240939532967543,"score_gpt":0.3131380547576351,"score_spread":0.3007286594279596,"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."}}