{"id":"W2127748456","doi":"10.15537/1658-3175.4452","title":"Wells score for venous thromboembolism. Basic diagnostic algorithm for venous thromboembolism.","year":2008,"lang":"en","type":"editorial","venue":"Saudi Medical Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pulmonary embolism; Deep vein; Venous thromboembolism; Pre- and post-test probability; Thrombosis; Venous thrombosis; Population; Internal medicine; Intensive care medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005718,0.0008786743,0.0006323421,0.003452063,0.0005120295,0.0006851162,0.001158433,0.0006939968,0.01700461],"category_scores_gemma":[0.005870457,0.0002084337,0.0007150696,0.001710381,0.0003646399,0.0009011556,0.001037773,0.001340683,0.0058583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634508,"about_ca_system_score_gemma":0.003749531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693922,"about_ca_topic_score_gemma":0.03517577,"domain_scores_codex":[0.9986786,0.0002891136,0.0002337148,0.00009063495,0.0005785496,0.000129325],"domain_scores_gemma":[0.9983571,0.0002150994,0.0003281425,0.00004155714,0.0008827782,0.0001753105],"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":[0.0003800185,0.0001998626,0.1990776,0.000865861,0.0001598152,0.0006478536,0.000284861,0.001896905,0.0005405725,0.006217455,0.5766141,0.2131151],"study_design_scores_gemma":[0.0003907375,0.0004647886,0.4265419,0.002599183,0.0002665772,0.008991274,0.000683373,0.006941107,0.0006869176,0.01685087,0.5354072,0.000176024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.1355392,0.07899081,0.06366504,0.04856031,0.004994209,0.01725422,0.247411,0.003383874,0.4002013],"genre_scores_gemma":[0.5778654,0.03098308,0.1195076,0.008169329,0.0007216111,0.00787262,0.1991301,0.0003718012,0.05537847],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02693922,"threshold_uncertainty_score":0.05688608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739581054922245,"score_gpt":0.2991456339221104,"score_spread":0.281749823372888,"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."}}