{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002995716,0.0002266712,0.0004686386,0.0002332517,0.00006603863,0.00004351924,0.00035826,0.000274255,0.00004309051],"category_scores_gemma":[0.00283618,0.0001852917,0.0008106582,0.000197736,0.0001457936,0.00002255555,0.0001482441,0.0005549324,3.692666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008675874,"about_ca_system_score_gemma":0.0006246878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002816275,"about_ca_topic_score_gemma":0.0000084758,"domain_scores_codex":[0.9946936,0.0004504468,0.003597969,0.0003529952,0.0006583661,0.0002466601],"domain_scores_gemma":[0.9961504,0.0001363729,0.002138514,0.0003925732,0.001069737,0.0001123562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006169173,0.004213651,0.3907585,0.0001995366,0.003261231,0.2937744,0.0003830724,0.0008985627,0.1672581,0.0002568225,0.00140074,0.1314263],"study_design_scores_gemma":[0.006132198,0.004289873,0.3915297,0.006077756,0.0008213008,0.1403717,0.00509697,0.0001440466,0.4215385,0.002970527,0.01984959,0.001177918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859688,0.003730016,0.0003822208,0.003463788,0.005331403,0.0002291939,0.00001725155,0.000001574557,0.0008757362],"genre_scores_gemma":[0.9974141,0.001065271,0.0002829173,0.0001825344,0.0009242881,0.00000565123,0.0000075867,0.00001586566,0.0001017531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2542804,"threshold_uncertainty_score":0.7555977,"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."}}