{"id":"W2801425348","doi":"10.1016/j.jacc.2018.02.068","title":"Neonatal Brain Injury and Timing of Neurodevelopmental Assessment in Patients With Congenital Heart Disease","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Medicine; Bayley Scales of Infant Development; Great arteries; Psychomotor learning; Heart disease; Pediatrics; Magnetic resonance imaging; Stroke (engine); Cardiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776297,0.0001085045,0.0006490619,0.0001474146,0.00003848667,0.000001442498,0.00008297933,0.00001484014,0.000005363633],"category_scores_gemma":[0.0001635697,0.0000698895,0.0001117009,0.0002408132,0.001052585,0.00005226966,0.0001367938,0.000151652,2.559606e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006192368,"about_ca_system_score_gemma":0.000397216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005959489,"about_ca_topic_score_gemma":0.000005516103,"domain_scores_codex":[0.9989218,0.000148113,0.000382335,0.0001118137,0.0002882312,0.0001477221],"domain_scores_gemma":[0.9990269,0.0001256318,0.0002815724,0.0001486508,0.000302859,0.0001143789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003831586,0.00005738582,0.9926254,0.00002150608,0.0002632991,0.00006443825,0.0000565019,0.000001335343,0.0003971286,0.000005490568,0.001165402,0.001510539],"study_design_scores_gemma":[0.001690958,0.00243195,0.9945994,0.00006368003,0.0001517902,0.0001345769,0.0003898565,0.00001455553,0.00006671854,0.00001903484,0.0003745959,0.00006285976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997918,0.0001003703,0.0000102976,0.001350865,0.0001253271,0.0002288108,0.000121033,0.000001893266,0.000143447],"genre_scores_gemma":[0.998937,0.000006902183,0.0006012498,0.0003392219,0.00007992271,0.000002168553,8.114276e-7,0.00001068278,0.00002201847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002374564,"threshold_uncertainty_score":0.3878295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009330965596553123,"score_gpt":0.2788994844990934,"score_spread":0.2695685189025403,"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."}}