{"id":"W4377987141","doi":"10.3390/children10060917","title":"Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants","year":2023,"lang":"en","type":"article","venue":"Children","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science Foundation Ireland","keywords":"Medicine; Intraventricular hemorrhage; Receiver operating characteristic; Gestational age; Anesthesia; Internal medicine; Pregnancy","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":[0.0001868689,0.0001386538,0.0002556472,0.0002601639,0.00004960421,0.0000088527,0.00009511792,0.00009928425,0.0001165683],"category_scores_gemma":[0.0002839318,0.0001179721,0.000070223,0.000516507,0.0000490149,0.00004984084,0.0001114374,0.0003767693,0.0003671131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002532116,"about_ca_system_score_gemma":0.00002002002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000435397,"about_ca_topic_score_gemma":0.00001192949,"domain_scores_codex":[0.9989718,0.00004983458,0.0001996275,0.0002887638,0.0001558801,0.0003340734],"domain_scores_gemma":[0.9995955,0.00005420025,0.00004383528,0.0001886882,0.00001513616,0.0001026942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002349689,0.00008544783,0.8243211,0.00007743663,0.00005246896,0.004010243,0.0007569389,0.0000599266,0.01055371,0.0000599028,0.000169518,0.1596183],"study_design_scores_gemma":[0.001719202,0.0001911213,0.9912578,0.00007354098,0.00002296254,0.0008361296,0.00001777249,0.001689696,0.003335274,0.0002065905,0.0005004434,0.0001494526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965252,0.0008329,0.00003814248,0.000259953,0.00009027012,0.0003657515,0.00001056569,0.0001961769,0.001680997],"genre_scores_gemma":[0.9978815,0.0001031829,0.0001324235,0.0002660904,0.0001036004,0.00001517438,0.0001991188,0.00002497301,0.001273918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669367,"threshold_uncertainty_score":0.4810763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231744818931579,"score_gpt":0.2419207676041137,"score_spread":0.2296033194147979,"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."}}