{"id":"W4223576953","doi":"10.1007/s00062-022-01156-z","title":"Clinical Impact and Predictors of Diffusion Weighted Imaging (DWI) Reversal in Stroke Patients with Diffusion Weighted Imaging Alberta Stroke Program Early CT Score 0–5 Treated by Thrombectomy","year":2022,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; Stroke (engine); Medicine; Radiology; Magnetic resonance imaging; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007621733,0.0005639135,0.001741991,0.0003716415,0.0001544415,0.00002289834,0.000416807,0.0001489396,0.0001849355],"category_scores_gemma":[0.0005917674,0.0004286692,0.0003889527,0.0005298959,0.0009866472,0.0001597116,0.0008655417,0.001705282,0.000003837553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822073,"about_ca_system_score_gemma":0.0001343971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006502795,"about_ca_topic_score_gemma":0.00002499494,"domain_scores_codex":[0.9939511,0.001150834,0.002036052,0.001419217,0.0006189576,0.000823822],"domain_scores_gemma":[0.9961374,0.001583777,0.0008235167,0.0008386077,0.0001371318,0.0004795987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003890863,0.00299069,0.9696298,0.00004193113,0.0002895514,0.0002659848,0.00007271462,8.188227e-7,0.0008185675,0.000002218442,0.007394906,0.01460194],"study_design_scores_gemma":[0.02029142,0.006649536,0.9632421,0.0001016638,0.0004777362,0.00008595517,0.00006467127,0.003494455,0.00003522093,0.000004544648,0.005216101,0.0003366011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953047,0.000189392,0.00002232539,0.0007853819,0.0005790262,0.002282539,0.0002359355,0.0001452342,0.0004554859],"genre_scores_gemma":[0.9974624,0.0001986445,0.0003569843,0.0006098155,0.0001523059,0.0001025105,0.0006514131,0.0001006934,0.0003652479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01640056,"threshold_uncertainty_score":0.9998165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174925922977805,"score_gpt":0.3016889173935376,"score_spread":0.2899396581637596,"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."}}