{"id":"W4414670781","doi":"10.1161/strokeaha.125.052146","title":"Artificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges","year":2025,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Clinical trial; Stroke (engine); Acute stroke; Clinical Practice; Clinical study design; Alternative medicine; Quality (philosophy); MEDLINE; Clinical research","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5728862,0.002459049,0.007389029,0.006074795,0.002514358,0.01559072,0.007672712,0.01400491,0.005902882],"category_scores_gemma":[0.5949543,0.00222838,0.005352453,0.004377234,0.02719702,0.02214564,0.009422163,0.02281214,0.001794595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01148092,"about_ca_system_score_gemma":0.02027107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166179,"about_ca_topic_score_gemma":0.002850421,"domain_scores_codex":[0.4392427,0.5240912,0.01256031,0.006455204,0.01607218,0.001578356],"domain_scores_gemma":[0.08655378,0.88596,0.006962666,0.008955711,0.008735242,0.002832612],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002168297,0.0006301454,0.004446461,0.01326817,0.002404246,0.0002547281,0.002078179,0.01969576,0.0002852822,0.4563863,0.05056738,0.4478152],"study_design_scores_gemma":[0.001252182,0.001098979,0.001620707,0.008274256,0.0003319106,0.0002113832,0.0007165823,0.01884497,0.0002005813,0.9165933,0.05060694,0.0002480579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004847512,0.2601296,0.1353165,0.5834708,0.006771891,0.001424237,0.0004728049,0.0003390198,0.007227626],"genre_scores_gemma":[0.1505875,0.1517068,0.5028195,0.1482657,0.02955786,0.01370038,0.0006289096,0.0005021186,0.002231218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4271138,"threshold_uncertainty_score":0.5267074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817023511278427,"score_gpt":0.3423363150697428,"score_spread":0.1606339639419,"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."}}