{"id":"W7131821303","doi":"10.5376/ijccr.2025.15.0027","title":"Molecular Monitoring of Brain Injury Markers During Post-CPR Nursing in the Emergency Department","year":2025,"lang":"","type":"article","venue":"International Journal of Clinical Case Reports","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emergency department; Emergency nursing; MEDLINE; Traumatic brain injury","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":[0.000240513,0.0003395872,0.0003950039,0.00101152,0.0003148879,0.0008620975,0.000302485,0.0008011677,0.001199861],"category_scores_gemma":[0.001289251,0.0001526114,0.0001969535,0.0005055476,0.0002172781,0.0003993067,0.0002424188,0.0009085984,0.0003327762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317546,"about_ca_system_score_gemma":0.0002459785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006250776,"about_ca_topic_score_gemma":0.0006510749,"domain_scores_codex":[0.9997473,0.00004778493,0.00002714322,0.00004280127,0.00007599599,0.00005885696],"domain_scores_gemma":[0.9995753,0.0001182413,0.0001130982,0.00001422952,0.0001102386,0.0000689237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00609612,0.0006523771,0.6445066,0.0007654708,0.0001872469,0.05143639,0.001987698,0.0008068568,0.1858614,0.0009594765,0.004029257,0.1027112],"study_design_scores_gemma":[0.0001067282,0.003573009,0.8211341,0.0004239389,0.0003321349,0.0594407,0.00364191,0.004953585,0.0931517,0.001360521,0.01179364,0.00008812103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862629,0.006871363,0.001792114,0.0005404467,0.0001073168,0.00009312918,0.0002348004,0.00006008916,0.004037723],"genre_scores_gemma":[0.9958082,0.001626267,0.001280335,0.0001720213,0.00005941661,0.0000372211,0.0001483082,0.000006711087,0.0008612977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001199861,"threshold_uncertainty_score":0.004013956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095187817331411,"score_gpt":0.4164163507859127,"score_spread":0.3954644726125986,"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."}}