{"id":"W3031867727","doi":"10.1093/neuros/nyaa128","title":"Diagnostic Accuracy of Non-Invasive Thermal Evaluation of Ventriculoperitoneal Shunt Flow in Shunt Malfunction: A Prospective, Multi-Site, Operator-Blinded Study","year":2020,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Medicine; Shunt (medical); Prospective cohort study; Cohort; Radiology; Diagnostic accuracy; Surgery; Nuclear medicine; Internal medicine","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":[0.01439848,0.0008490098,0.0008431303,0.0008023981,0.0004038764,0.000985802,0.0004997181,0.001060679,0.0009745878],"category_scores_gemma":[0.0332186,0.0006120901,0.0007470153,0.0003593546,0.001179891,0.001028524,0.0007461446,0.0005168986,0.0003694118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832802,"about_ca_system_score_gemma":0.0003438052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299421,"about_ca_topic_score_gemma":0.0002945657,"domain_scores_codex":[0.9906473,0.004735023,0.0009883818,0.002034134,0.001272249,0.0003230184],"domain_scores_gemma":[0.9595842,0.02241168,0.008997547,0.004589116,0.003161069,0.001256335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0323802,0.001696862,0.9496675,0.00009920757,0.0005191881,0.0001203066,0.0005264743,0.0003933089,0.004474236,0.00004669968,0.00008802691,0.009988031],"study_design_scores_gemma":[0.003215249,0.05422214,0.9269367,0.00006086847,0.0008989598,0.001641933,0.0003775564,0.004900736,0.00667046,0.0001521144,0.000814085,0.0001091942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988569,0.0002212871,0.0005594138,0.000007545157,0.00001218321,0.00009708489,0.00006408516,0.000005734149,0.000175928],"genre_scores_gemma":[0.9991279,0.00004245855,0.0005956945,0.00001630075,0.00002323319,0.00006287133,0.0001001937,0.000003222613,0.00002807091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439848,"threshold_uncertainty_score":0.07614738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06976626353728187,"score_gpt":0.3115400367760778,"score_spread":0.241773773238796,"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."}}