{"id":"W4281564439","doi":"10.1016/j.thromres.2021.12.008","title":"Cancer genetic alterations and risk of venous thromboembolism","year":2022,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Cancer; Medicine; Bioinformatics; KRAS; Intensive care medicine; Biology; Internal medicine; Colorectal cancer","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":[0.0003521048,0.0001591045,0.0001855064,0.001449742,0.0002612364,0.0006882705,0.0002424868,0.0006383181,0.002595945],"category_scores_gemma":[0.003506758,0.0001489637,0.0002666171,0.001487836,0.0002698646,0.0002402948,0.0002014176,0.0005181721,0.0002267079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256518,"about_ca_system_score_gemma":0.0002661318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003967895,"about_ca_topic_score_gemma":0.002673103,"domain_scores_codex":[0.9996005,0.0001389166,0.00003791544,0.00006275762,0.0001021199,0.00005784084],"domain_scores_gemma":[0.9980743,0.0005473804,0.0008067252,0.0001042229,0.0002215866,0.0002458321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004968892,0.00005613122,0.9891867,0.00002362628,0.0001880739,0.0003433418,0.00003138085,0.0001589162,0.0014394,0.0001740846,0.0002760129,0.007625435],"study_design_scores_gemma":[0.00001925112,0.0001384115,0.9947015,0.00001793515,0.0001705389,0.001788715,0.00007715348,0.0004398327,0.0008665483,0.0003404226,0.001432753,0.000006951406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900469,0.004820589,0.0003115678,0.0005793949,0.0000519243,0.000008236093,0.0006375769,0.00001901055,0.003524735],"genre_scores_gemma":[0.9981172,0.0008375178,0.0001731497,0.00005313035,0.00003918584,0.000002013104,0.0001777933,0.000003225995,0.0005968953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003967895,"threshold_uncertainty_score":0.008684278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0745204760168526,"score_gpt":0.3964106992975784,"score_spread":0.3218902232807258,"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."}}