{"id":"W2315093969","doi":"10.1097/jpn.0b013e3181ea13b5","title":"ST Analysis as an Adjunct to Electronic Fetal Monitoring","year":2010,"lang":"en","type":"article","venue":"The Journal of Perinatal & Neonatal Nursing","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Medicine; Electronic fetal monitoring; Population; Fetus; Fetal monitoring; Intensive care medicine; Pregnancy; Medical emergency; Pediatrics; Obstetrics; Fetal heart rate","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":[0.001035993,0.0005371721,0.0005233555,0.002199871,0.0001425503,0.0008407027,0.0003673224,0.0004410023,0.004440284],"category_scores_gemma":[0.005552412,0.000163627,0.0002396816,0.001309428,0.0002160709,0.0007635563,0.0005693476,0.0008935554,0.001147696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783436,"about_ca_system_score_gemma":0.0003928763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009451075,"about_ca_topic_score_gemma":0.001730319,"domain_scores_codex":[0.9987512,0.0005293736,0.0001081174,0.0001185343,0.000444358,0.00004852562],"domain_scores_gemma":[0.9970388,0.001388584,0.0003279334,0.000192987,0.000848162,0.0002034929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001643582,0.0004122148,0.06889166,0.0006016416,0.0001268006,0.001612996,0.0001720927,0.0008642555,0.02309401,0.001576846,0.01079267,0.8902112],"study_design_scores_gemma":[0.001385857,0.0127856,0.6106164,0.001908861,0.001586968,0.06020037,0.001075423,0.04235308,0.06713745,0.01114072,0.1894364,0.0003729079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.518324,0.08196907,0.2106078,0.01566225,0.006882654,0.001116006,0.003020126,0.004324263,0.1580939],"genre_scores_gemma":[0.7720345,0.04684526,0.1535622,0.002495703,0.006481669,0.0002700507,0.001163024,0.0002259672,0.01692167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004440284,"threshold_uncertainty_score":0.01485419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009159465029617961,"score_gpt":0.3059173261255003,"score_spread":0.2967578610958824,"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."}}