{"id":"W1906379176","doi":"10.3171/ped.2008.2.10.254","title":"Clinical predictors of developmental outcome in patients with cephaloceles","year":2008,"lang":"en","type":"article","venue":"Journal of Neurosurgery Pediatrics","topic":"Head and Neck Surgical Oncology","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; McMaster University","funders":"Hospital for Sick Children; McMaster University","keywords":"Medicine; Hydrocephalus; Univariate analysis; Microcephaly; Encephalocele; Logistic regression; Retrospective cohort study; Pediatrics; Surgery; Internal medicine; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000409048,0.0002492432,0.0001893327,0.0007867803,0.000351371,0.0004056455,0.0002747112,0.0003368104,0.001774609],"category_scores_gemma":[0.004102588,0.0001323709,0.0002200862,0.0006707829,0.0003322319,0.0003258922,0.0003318324,0.0005634148,0.0001731509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002674772,"about_ca_system_score_gemma":0.0004349072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820618,"about_ca_topic_score_gemma":0.001847966,"domain_scores_codex":[0.9997649,0.00005549943,0.00003176105,0.00004180178,0.00005554704,0.00005057017],"domain_scores_gemma":[0.9975169,0.0006549219,0.00110404,0.00005853086,0.0001874998,0.0004781545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001674291,0.000005393943,0.9994678,0.000001036619,0.000004066892,0.000129209,0.000008225689,0.00001997971,0.00003825916,0.00000336691,0.00002784448,0.0002780636],"study_design_scores_gemma":[0.000003776595,0.00007035783,0.9976986,0.000004080355,0.000008911498,0.001798113,0.00008088967,0.0002125543,0.00005192237,0.00001553822,0.00005310331,0.000002273192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994258,0.0001524618,0.00003893135,0.00005979818,0.000004044764,0.000002740167,0.0001022908,0.000002953146,0.0002110945],"genre_scores_gemma":[0.9997166,0.00005199718,0.00003937704,0.000008287319,0.000007496857,0.00000260268,0.0001350398,9.521826e-7,0.00003759975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820618,"threshold_uncertainty_score":0.005936682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587372748727449,"score_gpt":0.3048757909497424,"score_spread":0.259002063462468,"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."}}