{"id":"W4234679088","doi":"10.1097/moh.0b013e32835673ab","title":"Phenotyping bleeding","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Hematology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; U.S. Public Health Service; National Heart, Lung, and Blood Institute; Georgia Clinical and Translational Science Alliance","keywords":"Medicine; Standardization; Predictive value; Intensive care medicine; Bioinformatics; Internal medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009339774,0.001614503,0.002730105,0.003699297,0.0002397733,0.001359508,0.001126391,0.0009852241,0.005506328],"category_scores_gemma":[0.003405338,0.0002914642,0.001025703,0.003444868,0.0004880806,0.00134408,0.0006333816,0.001354984,0.003051442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005553997,"about_ca_system_score_gemma":0.001434642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456707,"about_ca_topic_score_gemma":0.001410844,"domain_scores_codex":[0.9993681,0.0001257283,0.0001510067,0.00008936517,0.0002301203,0.00003551919],"domain_scores_gemma":[0.9987137,0.0005794247,0.0003250929,0.00003328837,0.0002940504,0.00005439282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001016742,0.00002494051,0.0007043285,0.04526575,0.0003250153,0.0003215802,0.00004103752,0.0002311591,0.0004970269,0.001061477,0.04750318,0.9039228],"study_design_scores_gemma":[0.000108124,0.0001170249,0.007067526,0.05116025,0.001210743,0.01070028,0.0001585548,0.0002205783,0.001226702,0.003195547,0.9247805,0.00005413444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001018701,0.9983204,0.0001668376,0.0002920508,0.000284851,0.00001585659,0.00005955361,0.000008141515,0.0007504787],"genre_scores_gemma":[0.0009123512,0.9979061,0.0002610404,0.0002230549,0.0002687884,0.00001323317,0.000102221,0.000002618375,0.0003106901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005506328,"threshold_uncertainty_score":0.01842052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2079304095973248,"score_gpt":0.44064646852476,"score_spread":0.2327160589274352,"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."}}