{"id":"W3150182895","doi":"10.1002/9781444309768.ch64","title":"Venous Thromboembolic Disease","year":2009,"lang":"en","type":"other","venue":"","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Natural history; Perspective (graphical); Disease; Incidence (geometry); Medicine; Intensive care medicine; Venous thromboembolic disease; Venous thromboembolism; History; Internal medicine; Computer science; Thrombosis; Artificial intelligence","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":[0.0004791209,0.0005953784,0.0005833566,0.002838474,0.0005498622,0.001552763,0.0004330385,0.0006380405,0.05526527],"category_scores_gemma":[0.001506394,0.0001405072,0.0003414644,0.004203012,0.0004981247,0.001127099,0.0007832286,0.001505783,0.02613864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000540364,"about_ca_system_score_gemma":0.001286784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097822,"about_ca_topic_score_gemma":0.003426153,"domain_scores_codex":[0.9996278,0.00005740247,0.0000665507,0.0000565514,0.0001569026,0.00003477906],"domain_scores_gemma":[0.9995263,0.0001287384,0.00006189122,0.00003381274,0.0002006446,0.00004876051],"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":[0.00001695615,0.00003776802,0.0009918868,0.0007716336,0.000009874677,0.0001365231,0.00009737289,0.00007232103,0.0002579538,0.01478807,0.5301248,0.4526949],"study_design_scores_gemma":[0.000003040491,0.00001149961,0.001636347,0.0006899209,0.00000623963,0.0007164456,0.00004328663,0.00001765355,0.00005920504,0.001662467,0.9951499,0.000003930338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001448642,0.3533881,0.00437494,0.01582165,0.03063137,0.0002474757,0.005656501,0.0003474895,0.5880839],"genre_scores_gemma":[0.00952478,0.5370899,0.00758166,0.008554083,0.02001712,0.0001763096,0.008612121,0.0001490561,0.408295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05526527,"threshold_uncertainty_score":0.1848808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126061399088041,"score_gpt":0.2707023710541894,"score_spread":0.2580962311453853,"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."}}