{"id":"W3125671334","doi":"10.1007/s00381-021-05061-7","title":"Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network","year":2021,"lang":"en","type":"article","venue":"Child s Nervous System","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Patient-Centered Outcomes Research Institute; Gerber Foundation; Foundation for the National Institutes of Health","keywords":"Hydrocephalus; Cerebrospinal fluid; Medicine; Shunt (medical); Psychology; Internal medicine; Surgery","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":[0.001906571,0.0003564304,0.0005068274,0.0008552142,0.0008226054,0.0007774701,0.0005406824,0.000600411,0.001276743],"category_scores_gemma":[0.01206058,0.0002733592,0.0008112283,0.00126592,0.0005061759,0.0007922702,0.000675182,0.001372161,0.0002753686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825062,"about_ca_system_score_gemma":0.001315882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01661048,"about_ca_topic_score_gemma":0.01636435,"domain_scores_codex":[0.9992305,0.0003195501,0.00007956885,0.0001262271,0.0001425018,0.0001017346],"domain_scores_gemma":[0.9907061,0.004288697,0.002358208,0.0006613669,0.001134982,0.0008506097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001512142,0.00009693653,0.997283,0.000007548751,0.00008054728,0.00005920629,0.00006751441,0.0001056896,0.00002295291,0.00003225456,0.0004994384,0.001593679],"study_design_scores_gemma":[0.00004114458,0.00025583,0.9965089,0.00002787196,0.0001376274,0.0004077842,0.000454052,0.001079006,0.00008365938,0.0001000406,0.0008921162,0.00001192316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984241,0.0001930825,0.00006734626,0.0002701555,0.00001013877,0.000009321811,0.0006682182,0.000002423232,0.00035525],"genre_scores_gemma":[0.997313,0.0004820986,0.0002665335,0.0001099042,0.00002794477,0.00002685347,0.001423105,0.000007212517,0.0003433798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01661048,"threshold_uncertainty_score":0.03302759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622138619771077,"score_gpt":0.3074094352646516,"score_spread":0.2711880490669408,"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."}}