{"id":"W1998166546","doi":"10.1182/blood-2014-05-574160","title":"No BS! Bleeding scores predict future bleeding","year":2014,"lang":"en","type":"letter","venue":"Blood","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Bleeding diathesis; Major bleeding; Surgery; Internal medicine; Myocardial infarction; Platelet","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":[0.001695083,0.0005001571,0.001041911,0.0006422003,0.001518285,0.001850808,0.0009936619,0.01595538,0.007597668],"category_scores_gemma":[0.01758075,0.0004172102,0.0006931878,0.0004843135,0.0007927906,0.001686199,0.0004790615,0.01409057,0.007491366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673058,"about_ca_system_score_gemma":0.001842643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003767894,"about_ca_topic_score_gemma":0.007593814,"domain_scores_codex":[0.9987414,0.0003861035,0.0001790587,0.0001359297,0.0004097305,0.0001478024],"domain_scores_gemma":[0.9949335,0.00258756,0.0003284412,0.0001469976,0.001360506,0.0006429236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001620826,0.00007684269,0.00357332,0.0000367705,0.00002872514,0.001046888,0.00003803162,0.00006052628,0.0001450407,0.0008912723,0.9705384,0.0234021],"study_design_scores_gemma":[0.0009317254,0.0004062503,0.01009781,0.0007582774,0.000229258,0.00869996,0.0005963487,0.002380502,0.0009243619,0.0154936,0.9593121,0.0001698177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001078636,0.00177281,0.0001138743,0.9715986,0.02088791,0.00001061187,0.0001596204,0.00004144644,0.004336493],"genre_scores_gemma":[0.01551851,0.002932533,0.000463823,0.8842624,0.08775205,0.00004003663,0.0001706584,0.00003423973,0.008825697],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01595538,"threshold_uncertainty_score":0.02541667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260571651317683,"score_gpt":0.2347097689219295,"score_spread":0.2221040524087527,"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."}}