{"id":"W2900335229","doi":"10.1177/2399369318809102","title":"Thrombosis and kidney disease in cancer: comorbidities defining a very high risk patient: A position paper from the Cancer & the Kidney International Network","year":2018,"lang":"en","type":"article","venue":"Journal of Onco-Nephrology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Michael's Hospital","funders":"","keywords":"Medicine; Kidney cancer; Cancer; Kidney disease; Disease; Kidney; Venous thrombosis; Thrombosis; Internal medicine; Intensive care 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":[0.005027031,0.0008130686,0.001018061,0.00175304,0.0008388782,0.002883998,0.0008629711,0.003299189,0.002730423],"category_scores_gemma":[0.01142553,0.000355096,0.000918973,0.001407899,0.0009425486,0.001969329,0.001347306,0.006433261,0.001205548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093263,"about_ca_system_score_gemma":0.005627842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123494,"about_ca_topic_score_gemma":0.00858473,"domain_scores_codex":[0.9975845,0.000884578,0.0004054861,0.0002825695,0.0006252431,0.0002175432],"domain_scores_gemma":[0.9900141,0.004526478,0.0009651979,0.0001162719,0.002617185,0.001760894],"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":[0.000128094,0.00005491533,0.004696859,0.001358021,0.00008881978,0.0006135518,0.0002505295,0.0001436723,0.0002330804,0.001932419,0.8801747,0.1103253],"study_design_scores_gemma":[0.0001274592,0.0002110268,0.01444961,0.006772512,0.0002687887,0.004131286,0.0007268419,0.0003140855,0.0003678201,0.003827504,0.9687319,0.00007111523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002371807,0.3154781,0.001116301,0.5071799,0.1653665,0.0001430739,0.0005015146,0.00002390138,0.007818956],"genre_scores_gemma":[0.02991243,0.5283116,0.005059785,0.08277282,0.3355817,0.0002255549,0.001448984,0.00008355726,0.01660363],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.005027031,"threshold_uncertainty_score":0.02658576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874711964475177,"score_gpt":0.295125209533426,"score_spread":0.2763780898886742,"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."}}