{"id":"W4414222002","doi":"10.1002/neo2.70034","title":"Deep Learning in Emergency Radiology: Evaluating a Tool for Automated ASPECT Scoring in Acute Ischemic Stroke","year":2025,"lang":"en","type":"article","venue":"Clinical neuroimaging.","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraclass correlation; Thrombolysis; Stroke (engine); Receiver operating characteristic; Deep learning; Consistency (knowledge bases); Triage; Ischemic stroke; Reliability (semiconductor)","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":[0.005518499,0.0008719101,0.0005846535,0.001956976,0.000272228,0.001449036,0.001013301,0.0009359528,0.0010409],"category_scores_gemma":[0.02629148,0.0002626059,0.0005429292,0.001001931,0.0003745331,0.000893707,0.001358741,0.0006710252,0.0003583649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008276109,"about_ca_system_score_gemma":0.001041254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003251108,"about_ca_topic_score_gemma":0.004422002,"domain_scores_codex":[0.9969299,0.001698926,0.0002816072,0.0004775939,0.0004548874,0.0001569342],"domain_scores_gemma":[0.9894562,0.006470115,0.001172388,0.0006025595,0.001711796,0.0005867652],"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":[0.007254728,0.001626534,0.5054768,0.0005422144,0.001021448,0.0002279909,0.0002928427,0.03896884,0.003077874,0.0006884157,0.009236511,0.4315858],"study_design_scores_gemma":[0.0006476669,0.002647537,0.2389069,0.0002325902,0.0004629046,0.0005509727,0.000291594,0.746102,0.004467589,0.003126623,0.002444647,0.0001189079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655966,0.0008247145,0.02755391,0.0006488259,0.0000721146,0.000542182,0.001899291,0.0009348824,0.001927543],"genre_scores_gemma":[0.9708046,0.0001464852,0.02670433,0.0001935332,0.00004331887,0.0003613959,0.001431953,0.00003971139,0.0002747389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005518499,"threshold_uncertainty_score":0.02918494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04864752696570785,"score_gpt":0.4120003514481236,"score_spread":0.3633528244824157,"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."}}