{"id":"W2608835513","doi":"10.1053/j.sempedsurg.2017.04.010","title":"Predicting outcomes in congenital diaphragmatic hernia","year":2017,"lang":"en","type":"review","venue":"Seminars in Pediatric Surgery","topic":"Congenital Diaphragmatic Hernia Studies","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Benchmarking; Congenital diaphragmatic hernia; Population; Intensive care medicine; Clinical prediction rule; Apgar score; MEDLINE; Predictive modelling; Risk assessment; Birth weight; Internal medicine; Pregnancy; Machine learning","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":[0.001978799,0.0007886544,0.001357232,0.00464835,0.0001852284,0.001073558,0.0009990614,0.0008962076,0.001574507],"category_scores_gemma":[0.009132789,0.0002468513,0.001191056,0.00365857,0.0004508159,0.001158934,0.0007202392,0.0009708318,0.0002702827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129444,"about_ca_system_score_gemma":0.001678665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697825,"about_ca_topic_score_gemma":0.005345548,"domain_scores_codex":[0.9992249,0.0002558061,0.0001971387,0.00009483124,0.0001944241,0.00003289266],"domain_scores_gemma":[0.9965428,0.00249067,0.0004796304,0.00004715403,0.0003880515,0.00005174444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000110452,0.00004915123,0.005613496,0.0759135,0.0007933405,0.0001156005,0.0001279229,0.0003712527,0.00012091,0.001296947,0.008769001,0.9067184],"study_design_scores_gemma":[0.0001733754,0.0005470588,0.07977454,0.3936213,0.008893799,0.005698851,0.001218247,0.001240925,0.001090234,0.006534525,0.5010202,0.0001869309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001763761,0.9994738,0.00002715083,0.0001206407,0.00003789271,0.000003310359,0.00002244523,0.000001136502,0.0001372728],"genre_scores_gemma":[0.002586813,0.9971149,0.0001044458,0.00006020587,0.00005916318,0.000006913002,0.00003572227,4.920603e-7,0.00003137817],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00464835,"threshold_uncertainty_score":0.01046503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07666668776337668,"score_gpt":0.3595498348055266,"score_spread":0.2828831470421499,"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."}}