{"id":"W7106385234","doi":"10.5683/sp3/3ehrls","title":"Search strategy for hematoma expansion (HE) prediction models incorporating Non-Contrast Computed Tomography (NCCT) features in intracerebral hemorrhages (ICH)","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Computed tomography; Hematoma; MEDLINE; Intracerebral hemorrhage; Intracerebral hematoma","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":[0.00289879,0.001735687,0.001981379,0.006713564,0.0004840237,0.001406054,0.001721761,0.001761092,0.0157592],"category_scores_gemma":[0.01343196,0.0003053099,0.004459037,0.00383384,0.0002758706,0.0008180591,0.000954925,0.0007977951,0.005493196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368202,"about_ca_system_score_gemma":0.003750896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02718812,"about_ca_topic_score_gemma":0.05747649,"domain_scores_codex":[0.9986174,0.0005555623,0.0002667448,0.0003018941,0.0001565326,0.0001018514],"domain_scores_gemma":[0.9961779,0.002847875,0.0002634366,0.0002325855,0.0003453025,0.0001328931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004198119,0.0005306978,0.0370039,0.02486758,0.003468385,0.0005298156,0.0001549166,0.01585182,0.001484671,0.001852316,0.784364,0.1256938],"study_design_scores_gemma":[0.009399308,0.003345122,0.1327348,0.02066894,0.01947754,0.004247523,0.001171423,0.1584612,0.006775255,0.01525335,0.6278924,0.0005730677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02853036,0.03266996,0.002674189,0.002369232,0.0004504604,0.00046529,0.9261392,0.001311714,0.005389504],"genre_scores_gemma":[0.07223578,0.007702623,0.007945085,0.0008079677,0.0002075642,0.0007563787,0.9074283,0.0001310879,0.002785356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02718812,"threshold_uncertainty_score":0.05405974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086749454745192,"score_gpt":0.2819915881704265,"score_spread":0.2611240936229746,"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."}}