{"id":"W1967953145","doi":"10.1159/000120808","title":"Computer Modeling of Siphoning for CSF Shunt Design Evaluation","year":2008,"lang":"en","type":"article","venue":"Pediatric Neurosurgery","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Waterloo; University of Toronto","funders":"","keywords":"Shunt (medical); Cerebrospinal fluid; Medicine; Intracranial pressure; Hydrocephalus; Compartment (ship); Cerebrospinal fluid pressure; Biomedical engineering; Surgery; 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":[0.0003033685,0.0005521544,0.0005601629,0.0003561121,0.0003743089,0.0006349419,0.0007516973,0.0009358565,0.002787136],"category_scores_gemma":[0.001276885,0.0003557732,0.0005222039,0.0003244764,0.0003311703,0.0005491289,0.0003193774,0.0005098004,0.000321386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294802,"about_ca_system_score_gemma":0.001108267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007651886,"about_ca_topic_score_gemma":0.00476275,"domain_scores_codex":[0.9998461,0.00004550364,0.000009096925,0.00002283103,0.00005742782,0.00001899595],"domain_scores_gemma":[0.9994233,0.000350062,0.00004721796,0.00004155897,0.0001183171,0.00001961786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002680035,0.00001498081,0.0002526763,0.00002455359,0.000005168507,0.00003843644,0.00002425146,0.9926319,0.002400979,0.001332578,0.0001328695,0.003114709],"study_design_scores_gemma":[0.00000449761,0.00001348188,0.00005174908,0.000002139932,0.000002805878,0.000007668589,0.000003578544,0.998613,0.000674722,0.0002101099,0.0004136057,0.000002661984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2485153,0.0004063194,0.7328148,0.0002231658,0.00007801917,0.0002919197,0.0005643471,0.001183669,0.01592245],"genre_scores_gemma":[0.8864601,0.0004543211,0.1054624,0.00004355357,0.00001589696,0.0005546533,0.0003167412,0.0001312341,0.006561249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007651886,"threshold_uncertainty_score":0.01521474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207919940789321,"score_gpt":0.2899691674348588,"score_spread":0.1691771733559267,"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."}}