{"id":"W4391448580","doi":"10.1161/str.55.suppl_1.128","title":"Abstract 128: Multi-Direction Diffusion Weighted Imaging on Portable, Low-Field Magnetic Resonance Imaging","year":2024,"lang":"en","type":"article","venue":"Stroke","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Medicine; Magnetic resonance imaging; Diffusion MRI; Diffusion imaging; Nuclear medicine; Effective diffusion coefficient; Acute stroke; White matter; Radiology; Stroke (engine); Internal medicine","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":[0.0006837467,0.000615772,0.0003219536,0.0007513157,0.0001783592,0.0004938119,0.0005463296,0.000436542,0.01343411],"category_scores_gemma":[0.001511031,0.0001665481,0.0001863025,0.0003652752,0.0003359359,0.0007570292,0.0005310437,0.0003201526,0.003337917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739225,"about_ca_system_score_gemma":0.0002906759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004112633,"about_ca_topic_score_gemma":0.0005542376,"domain_scores_codex":[0.9997664,0.00007763854,0.00002396036,0.00003618241,0.00007062715,0.0000251344],"domain_scores_gemma":[0.9995306,0.000121975,0.000109111,0.00006926384,0.0001104749,0.00005868314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004067058,0.0006492322,0.06915287,0.0021453,0.0001502407,0.01519808,0.0002404183,0.001317996,0.4012181,0.001225269,0.0171681,0.4874674],"study_design_scores_gemma":[0.001324402,0.006900304,0.6370879,0.0006311639,0.0004696325,0.1514922,0.0002814721,0.01205818,0.1415728,0.002369753,0.04563443,0.0001777952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337482,0.004797579,0.03308245,0.001397413,0.0002547736,0.0009171188,0.001079192,0.0008874544,0.02383587],"genre_scores_gemma":[0.9563883,0.002162245,0.03102234,0.0004679605,0.0005586495,0.0003549057,0.00120287,0.00009626755,0.007746471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343411,"threshold_uncertainty_score":0.0449416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00919528431181581,"score_gpt":0.2967858026793929,"score_spread":0.287590518367577,"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."}}