{"id":"W2104977949","doi":"10.1017/s1047951108003028","title":"Nomenclature and databases for the surgical treatment of congenital cardiac disease – an updated primer and an analysis of opportunities for improvement","year":2008,"lang":"en","type":"review","venue":"Cardiology in the Young","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Intensive Care Society; Society of Thoracic Surgeons","keywords":"Medicine; Nomenclature; Database; Heart disease; MEDLINE; Guideline; Cardiothoracic surgery; Surgery; Pathology; Computer science; Taxonomy (biology)","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":[0.000286687,0.000328713,0.002465463,0.0002130144,0.0001143047,0.000006049102,0.0001004917,0.0001085701,0.000002917898],"category_scores_gemma":[0.00004825883,0.0001675425,0.00077779,0.0001741369,0.0006497962,0.00004802178,0.00006083121,0.00008246703,3.958192e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005425176,"about_ca_system_score_gemma":0.0002272384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005570663,"about_ca_topic_score_gemma":0.000035107,"domain_scores_codex":[0.9985066,0.0002693679,0.0004786429,0.0003910139,0.0001270137,0.0002273635],"domain_scores_gemma":[0.9981237,0.0008148849,0.0001514751,0.000639019,0.0001416534,0.0001292876],"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":[0.00237637,0.0006854185,0.0353517,0.006342014,0.07001585,0.0012575,0.002140244,0.000002798765,0.000005887355,0.0007550365,0.0005527646,0.8805144],"study_design_scores_gemma":[0.003998758,0.004359243,0.03367136,0.0005044919,0.2478187,0.0007018599,0.006814478,0.0002874301,0.000002520564,0.00002927434,0.7010421,0.0007697363],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05863344,0.9287737,0.000006291366,0.00003917802,0.00009287826,0.003157189,0.009260891,0.000007490014,0.00002894598],"genre_scores_gemma":[0.04442347,0.9498278,0.00003004039,0.00001223973,0.0001856827,0.001072882,0.004363572,0.00002217073,0.00006217637],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8797447,"threshold_uncertainty_score":0.6832184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248850146877495,"score_gpt":0.3893544840967627,"score_spread":0.2644694694090133,"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."}}