{"id":"W2790261541","doi":"10.1080/14767058.2018.1446079","title":"SNAP-II for prediction of mortality and morbidity in extremely preterm infants","year":2018,"lang":"en","type":"article","venue":"The Journal of Maternal-Fetal & Neonatal Medicine","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University; University of Toronto; McGill University Health Centre; Mount Sinai Hospital","funders":"Health Canada","keywords":"Medicine; Bronchopulmonary dysplasia; Necrotizing enterocolitis; Retinopathy of prematurity; Gestational age; Birth weight; Pediatrics; Retrospective cohort study; Area under the curve; Snap; Low birth weight; Pregnancy; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003349016,0.00103065,0.0005738816,0.001393275,0.0003408117,0.0008744606,0.0008938331,0.0004183887,0.00100111],"category_scores_gemma":[0.0132225,0.0002238249,0.0006859916,0.0009142948,0.0003048294,0.0005007837,0.00108833,0.0008629255,0.000316363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009733262,"about_ca_system_score_gemma":0.002113425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03311,"about_ca_topic_score_gemma":0.03951893,"domain_scores_codex":[0.9989889,0.0003438902,0.00009812654,0.0001608415,0.000301222,0.0001069938],"domain_scores_gemma":[0.9972257,0.000706737,0.0008383178,0.0001186445,0.0007342495,0.0003763737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002784235,0.00002053488,0.9902939,0.000049631,0.0001272459,0.00005324553,0.00003987226,0.0007874563,0.0001682514,0.00005754426,0.0007539582,0.007369843],"study_design_scores_gemma":[0.00002899568,0.0002286613,0.987866,0.0001082146,0.00009445944,0.0002384077,0.0001341513,0.01027658,0.0002348506,0.0002392858,0.0005333888,0.00001697041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864331,0.001706213,0.00472436,0.0003352754,0.00005315442,0.0001781373,0.004348851,0.00009414943,0.002126819],"genre_scores_gemma":[0.9921263,0.0004417038,0.003581201,0.00005645271,0.00002516246,0.0001235932,0.003281242,0.00001103438,0.0003532458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03311,"threshold_uncertainty_score":0.06583452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041010771203653,"score_gpt":0.3999999910835095,"score_spread":0.2958989139631443,"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."}}