{"id":"W2760467472","doi":"10.1186/s13089-017-0072-1","title":"Bedside transcranial sonography monitoring in a patient with hydrocephalus post subarachnoid hemorrhage","year":2017,"lang":"en","type":"article","venue":"Critical Ultrasound Journal","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Centre Hospitalier de l’Université de Montréal","funders":"Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Richard I. Kaufman Endowment Fund in Anesthesia and Critical Care","keywords":"Medicine; Hydrocephalus; Craniotomy; External ventricular drain; Subarachnoid hemorrhage; Third ventricle; Neuroradiology; Interventional radiology; Ventriculostomy; Radiology; Fourth ventricle; Neurosurgery; Cranioplasty; Surgery; Neurology; Skull; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000130303,0.0005666057,0.0006928483,0.0009118771,0.001020215,0.0004697017,0.0005173245,0.00154214,0.001338387],"category_scores_gemma":[0.001426092,0.0002751949,0.0002754485,0.0005652606,0.0007427909,0.0009176203,0.0004264259,0.001911414,0.0002765563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006402447,"about_ca_system_score_gemma":0.0008000508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192801,"about_ca_topic_score_gemma":0.002896893,"domain_scores_codex":[0.9998158,0.00002412236,0.00002890546,0.0000410563,0.0000382279,0.00005189746],"domain_scores_gemma":[0.9993524,0.0001349923,0.0001393689,0.0000192865,0.00005158476,0.0003023619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001719489,0.00006978679,0.04280632,0.00007023019,0.00001296738,0.9499364,0.0005195493,0.0001089999,0.001619012,0.0001011088,0.0006034774,0.003980208],"study_design_scores_gemma":[0.00002952587,0.0007549865,0.043477,0.00007898427,0.0000371874,0.9513034,0.0006541951,0.0006491691,0.001487189,0.0003352634,0.001158738,0.0000342608],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840031,0.00391939,0.00121378,0.003733257,0.0002163064,0.0001074245,0.0001703811,0.0000717175,0.006564566],"genre_scores_gemma":[0.9966265,0.001203417,0.0006691294,0.0007523347,0.0002524203,0.00001367203,0.00005556188,0.000005973551,0.0004209364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002192801,"threshold_uncertainty_score":0.004645288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844383804230424,"score_gpt":0.2777812078765461,"score_spread":0.2593373698342418,"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."}}