{"id":"W4407131692","doi":"10.1007/s12028-025-02218-z","title":"Differential Risk Factors for Hematoma Expansion in Deep and Lobar Intracerebral Hemorrhage","year":2025,"lang":"en","type":"article","venue":"Neurocritical Care","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Medicine; Intracerebral hemorrhage; Glasgow Coma Scale; Odds ratio; Confidence interval; Hematoma; Logistic regression; Internal medicine; Radiology; Surgery","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":[0.0004876686,0.0002756726,0.0002655332,0.001031367,0.0002832513,0.0004129255,0.0002182435,0.000222407,0.001405745],"category_scores_gemma":[0.002073967,0.0001652097,0.0003129626,0.0008985355,0.0004982193,0.0003895103,0.0004966373,0.0003810935,0.0001232322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189089,"about_ca_system_score_gemma":0.0003353762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009505,"about_ca_topic_score_gemma":0.002230983,"domain_scores_codex":[0.9996573,0.00007640903,0.00005389815,0.00005752571,0.00007850912,0.00007642083],"domain_scores_gemma":[0.998256,0.0003998636,0.0009127578,0.00008613722,0.0001115933,0.0002336338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003915483,0.000005102607,0.9989884,0.000004259222,0.00001184009,0.0002616058,0.00002043686,0.00001449237,0.0001009443,0.000007551565,0.00001333234,0.0005327292],"study_design_scores_gemma":[0.000002301306,0.00002847198,0.9981905,0.000003780375,0.00001490988,0.001451361,0.00008345149,0.0001018402,0.00005830988,0.00002361146,0.00003927106,0.000002224779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993351,0.0002665508,0.000088944,0.00002263772,0.000002122874,0.000003990167,0.00005427707,0.000001952481,0.0002243847],"genre_scores_gemma":[0.9997635,0.00007187701,0.00005761638,0.000006214421,0.000006674678,0.000001827746,0.00006276139,5.436158e-7,0.00002897308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002009505,"threshold_uncertainty_score":0.004702687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009782861840890665,"score_gpt":0.2960094541309981,"score_spread":0.2862265922901074,"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."}}