{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006305051,0.0001712941,0.000278709,0.0002450306,0.0002419555,0.0000244076,0.0001774277,0.00005786411,0.00002600818],"category_scores_gemma":[0.0009539663,0.0001723495,0.0001734206,0.0004573064,0.00004016281,0.0002262369,0.00005753724,0.000111004,0.00001665213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003130695,"about_ca_system_score_gemma":0.0001929626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007345353,"about_ca_topic_score_gemma":1.356979e-7,"domain_scores_codex":[0.9979511,0.0001602757,0.00049547,0.0004821786,0.0005632851,0.0003476434],"domain_scores_gemma":[0.9983203,0.001030266,0.000173465,0.0002275682,0.0001580721,0.00009033393],"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":[0.0004051226,0.0004694797,0.01319706,0.0002375403,0.000007596245,0.00005859136,0.0005427669,0.8121179,0.1602508,0.0002593881,0.007161256,0.00529248],"study_design_scores_gemma":[0.0004806578,0.0001383544,0.001027069,0.000005856026,0.00004817102,0.00005606125,0.00000184518,0.978916,0.01877155,0.0002983383,0.00006466542,0.0001914494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544217,0.0001452886,0.1436117,0.00004553394,0.001067419,0.0005003593,0.000009426491,0.00007566015,0.0001228957],"genre_scores_gemma":[0.9969064,0.0002973404,0.001455379,0.0003667051,0.000844037,0.00005450406,0.000002880103,0.00003425006,0.0000385087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166798,"threshold_uncertainty_score":0.7028209,"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."}}