{"id":"W3158169104","doi":"10.3171/2020.11.peds20806","title":"Treatment strategies for hydrocephalus related to Dandy-Walker syndrome: evaluating procedure selection and success within the Hydrocephalus Clinical Research Network","year":2021,"lang":"en","type":"article","venue":"Journal of Neurosurgery Pediatrics","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary; BC Children's Hospital; University of British Columbia; Hospital for Sick Children","funders":"H2020 European Research Council; National Institute of Neurological Disorders and Stroke; Hydrocephalus Association; Patient-Centered Outcomes Research Institute","keywords":"Hydrocephalus; Dandy; Selection (genetic algorithm); Dandy–Walker syndrome; Medicine; Computer science; Psychology; Surgery; Artificial intelligence; History; Art history","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":[0.003784017,0.0002565384,0.0006967821,0.0002858361,0.0004617122,0.0001612157,0.0001434204,0.0002346214,0.00002426403],"category_scores_gemma":[0.004329681,0.0001589418,0.0003477048,0.002243045,0.0001041402,0.0001932017,0.00009278393,0.001069847,0.000005240277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006495987,"about_ca_system_score_gemma":0.001448412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005160683,"about_ca_topic_score_gemma":0.000007407654,"domain_scores_codex":[0.9958986,0.0007331459,0.001381227,0.0004716211,0.0009342722,0.0005811071],"domain_scores_gemma":[0.9942212,0.00359853,0.0005638935,0.0002027315,0.001009813,0.0004038201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006745725,0.002298024,0.9198447,0.0008078968,0.0004142944,0.004392315,0.001012008,0.02670996,0.001664678,0.0004303488,0.02207517,0.01360486],"study_design_scores_gemma":[0.01767693,0.06953613,0.7637716,0.0003030009,0.004824852,0.05791234,0.002461253,0.03899537,0.0003222485,0.02923897,0.01342194,0.001535344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901472,0.002800043,0.00005843016,0.004928026,0.001142516,0.0006953278,0.000006513834,0.00002758602,0.0001944107],"genre_scores_gemma":[0.994386,0.002627124,0.0003573798,0.0008556134,0.001255494,0.00002895147,0.000006223608,0.00004071907,0.0004424763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1560731,"threshold_uncertainty_score":0.648146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064544816973436,"score_gpt":0.4136359852682761,"score_spread":0.3071815035709325,"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."}}