{"id":"W4391018190","doi":"10.1016/j.heliyon.2024.e25052","title":"The combination model of serum occludin and clinical risk factors improved the efficacy for predicting hemorrhagic transformation in stroke patients with recanalization","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Postdoctoral Science Foundation; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Occludin; Medicine; Internal medicine; Biomarker; Confounding; Prospective cohort study; Stroke (engine); Area under the curve; Observational study; Gastroenterology; Tight junction; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005754555,0.001293379,0.001997988,0.001503152,0.0004606485,0.001769975,0.0007717913,0.0008642643,0.001692633],"category_scores_gemma":[0.01127424,0.0004499243,0.002113438,0.0008132685,0.000273101,0.000848124,0.0007610954,0.001157365,0.0004887175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070174,"about_ca_system_score_gemma":0.001301748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004963206,"about_ca_topic_score_gemma":0.003768984,"domain_scores_codex":[0.9974877,0.001431352,0.0002016212,0.0004375538,0.0002471872,0.0001945598],"domain_scores_gemma":[0.9948279,0.003409614,0.0004393884,0.0002809619,0.0006947392,0.0003473943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003976692,0.0006771781,0.9166797,0.0001220736,0.002361959,0.0002558249,0.0001105326,0.02427167,0.0006573207,0.0001442769,0.001788956,0.04895383],"study_design_scores_gemma":[0.0003001892,0.002222558,0.2544739,0.0001089078,0.002917048,0.0007669871,0.0001613763,0.7362041,0.0006476992,0.0007359162,0.001377747,0.00008357749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805234,0.003115825,0.01259499,0.0008351936,0.0002375886,0.0001243459,0.0005742566,0.0002616325,0.001732687],"genre_scores_gemma":[0.9967194,0.0002724467,0.002066113,0.00005661182,0.00007938752,0.00003184011,0.0003696751,0.0000117228,0.0003928365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005754555,"threshold_uncertainty_score":0.03043342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896129691420682,"score_gpt":0.2836176933792725,"score_spread":0.2646563964650657,"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."}}