{"id":"W4223435143","doi":"10.2196/37808","title":"Deep Neural Networks provide expert level prediction accuracy in classification of fetal state from Cardiotocography records (Preprint)","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cardiotocography; Preprint; Computer science; Artificial neural network; Artificial intelligence; Data mining; Medicine; Machine learning; Fetus; Pregnancy; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001642717,0.0007351075,0.000379313,0.0004904598,0.0002116267,0.0009023512,0.0004070222,0.001285674,0.00256461],"category_scores_gemma":[0.008776661,0.0002235877,0.0003436142,0.0003411121,0.0002057285,0.0006844736,0.0005230974,0.001288901,0.001209723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000389046,"about_ca_system_score_gemma":0.0005580064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009649524,"about_ca_topic_score_gemma":0.01041221,"domain_scores_codex":[0.9994393,0.0001578911,0.00004442218,0.0001614845,0.0001104904,0.00008637002],"domain_scores_gemma":[0.9967638,0.00218268,0.0001254885,0.0002909481,0.0005502248,0.00008683436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001489057,0.0006362827,0.05745398,0.0001683087,0.0002343907,0.0002977117,0.0001666844,0.206899,0.01197038,0.001045034,0.02167315,0.697966],"study_design_scores_gemma":[0.00001520925,0.00007616114,0.00957904,0.00002778413,0.00002351769,0.00004226678,0.00003951346,0.9820746,0.006455067,0.00115202,0.0005012251,0.00001359185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972407,0.002333603,0.1811108,0.002647715,0.0008586827,0.00006604058,0.004134428,0.004400891,0.007207113],"genre_scores_gemma":[0.9732217,0.0002969544,0.02024316,0.0001713643,0.00009995593,0.00001360096,0.002118622,0.00005944011,0.003775141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009649524,"threshold_uncertainty_score":0.01918668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806096334214865,"score_gpt":0.2961707998684264,"score_spread":0.2681098365262777,"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."}}