{"id":"W4319445394","doi":"10.33962/roneuro-2022-017","title":"Utilization of anticoagulant and antiplatelet medications among geriatric patients with neurosurgical diseases","year":2022,"lang":"en","type":"article","venue":"Romanian Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Medicine; Anticoagulant; Anticoagulant drug; Aspirin; Glasgow Coma Scale; Neurosurgery; Trauma center; Medical prescription; Emergency medicine; Geriatric trauma; Retrospective cohort study; Anesthesia; Internal medicine; Surgery; Poison control; Injury Severity Score; Injury prevention","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009683423,0.0001526808,0.0003305871,0.0002623692,0.0001487666,0.0000133595,0.00008497758,0.00002451093,0.000145953],"category_scores_gemma":[0.00008468269,0.0001332901,0.00006140437,0.0005015266,0.0001353519,0.00008135995,0.0001944383,0.0001420367,0.000001308656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380802,"about_ca_system_score_gemma":0.00004505552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008853717,"about_ca_topic_score_gemma":3.289998e-7,"domain_scores_codex":[0.9984071,0.00008026253,0.0003472779,0.000351462,0.0006041839,0.000209765],"domain_scores_gemma":[0.9991068,0.0001217887,0.0002239258,0.0003382098,0.00005496887,0.0001542708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001829354,0.0004403189,0.992806,0.00008296961,0.00004964132,0.0001766098,0.00003661344,0.00001858386,0.000258477,0.00004288801,0.004949684,0.0009552628],"study_design_scores_gemma":[0.001179682,0.0002726413,0.9925261,0.00002347301,0.0002397895,0.00004815991,0.00002991917,0.0006752486,0.0001135394,0.00000198286,0.004773298,0.0001162379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982609,0.00008928868,0.00007529312,0.0002752301,0.0001749323,0.0004869614,0.00009984103,0.00007076858,0.0004668154],"genre_scores_gemma":[0.999116,0.00006075689,0.00005687367,0.0003017415,0.00003628265,0.00003826905,0.0002031874,0.00003430383,0.0001525675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009967465,"threshold_uncertainty_score":0.5435413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00981146709903047,"score_gpt":0.2173178463079003,"score_spread":0.2075063792088698,"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."}}