{"id":"W1544118336","doi":"10.3171/2014.4.jns13932","title":"Diagnostic accuracy of intraocular pressure measurement for the detection of raised intracranial pressure: meta-analysis","year":2014,"lang":"en","type":"review","venue":"Journal of neurosurgery","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intraocular pressure; Meta-analysis; Ocular hypertension; Intracranial pressure; Ophthalmology; Internal medicine; Likelihood ratios in diagnostic testing; MEDLINE; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.004546823,0.0005770021,0.009244889,0.001080455,0.00009172946,0.00003669026,0.0004996512,0.0003569593,0.0001822397],"category_scores_gemma":[0.01851224,0.0003267431,0.01210646,0.001248611,0.000154042,0.0001314293,0.00007091941,0.0008700677,0.000001414755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006719568,"about_ca_system_score_gemma":0.0006151379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003030204,"about_ca_topic_score_gemma":0.000009073148,"domain_scores_codex":[0.9929672,0.000921388,0.003567116,0.0003752979,0.00182227,0.0003466964],"domain_scores_gemma":[0.9788736,0.01086969,0.007253518,0.0009489215,0.001866741,0.0001875503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0005365423,0.001158605,0.00008200289,0.05537733,0.6450411,0.00007028968,0.00007865906,0.0006026825,0.001614905,0.000006986787,0.001867426,0.2935635],"study_design_scores_gemma":[0.0003696734,0.0004668005,0.0003443717,0.001066375,0.5955302,0.0002449804,0.000002662018,0.00006821837,0.0003490537,0.000007111561,0.4013974,0.0001532477],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007948587,0.9905385,0.006182136,0.0002174728,0.000873884,0.001970223,0.000118702,0.00001132377,0.000008276421],"genre_scores_gemma":[0.0693905,0.9293644,0.0001277682,0.00007726028,0.000791454,0.0001004811,0.000007968415,0.0001040273,0.00003614288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3995299,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131907612302948,"score_gpt":0.3446668818123724,"score_spread":0.2127592695094244,"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."}}