{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004048218,0.0005813379,0.000675043,0.0007268524,0.0001219331,0.0005984782,0.0004027355,0.0005541523,0.0005088184],"category_scores_gemma":[0.01118582,0.00012741,0.0004200151,0.0002791316,0.0002163678,0.0003468756,0.0004241535,0.0005852772,0.0001849319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654175,"about_ca_system_score_gemma":0.0003247332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009392312,"about_ca_topic_score_gemma":0.0006079537,"domain_scores_codex":[0.9988497,0.0006831994,0.00007423768,0.0001597485,0.000154978,0.00007811334],"domain_scores_gemma":[0.9955647,0.003185911,0.0005600083,0.0001656695,0.0003707882,0.0001529695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005089677,0.0008405889,0.8149428,0.0001640243,0.0005875931,0.0002522171,0.00009976681,0.03975078,0.005084426,0.00009970118,0.0008854618,0.1322031],"study_design_scores_gemma":[0.0001671798,0.004288048,0.4432147,0.00008324764,0.0002664008,0.0005276824,0.0001250497,0.5454133,0.004758992,0.000583031,0.0005344606,0.00003790165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912554,0.0005940085,0.007260296,0.0001991535,0.00002455446,0.00003987897,0.0001767929,0.00006624876,0.0003836782],"genre_scores_gemma":[0.9967319,0.0001321533,0.002570041,0.00004799271,0.00002117155,0.00002466957,0.0003447085,0.000004303157,0.0001230494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004048218,"threshold_uncertainty_score":0.02140927,"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."}}