{"id":"W2974354866","doi":"10.1111/ene.14083","title":"Association between time to treatment and functional outcomes according to the Diffusion‐Weighted Imaging Alberta Stroke Program Early Computed Tomography Score in endovascular stroke therapy","year":2019,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Magnetic resonance imaging; Groin; Diffusion MRI; Outcome (game theory); Computed tomography; Prospective cohort study; Radiology; Surgery; Ischemic stroke; Internal medicine; Ischemia","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":[0.001496673,0.0002803654,0.0003914486,0.0006316202,0.0002701663,0.0007182094,0.0005000975,0.000655033,0.001606728],"category_scores_gemma":[0.005797533,0.0002208141,0.0008434512,0.0009023856,0.0003804836,0.0004340089,0.0004806087,0.0009538103,0.0001662116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855683,"about_ca_system_score_gemma":0.0005910847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005425114,"about_ca_topic_score_gemma":0.006422422,"domain_scores_codex":[0.9988025,0.0004925166,0.0001220513,0.0001941464,0.0001883931,0.0002003551],"domain_scores_gemma":[0.9943417,0.001854937,0.002401934,0.0002389436,0.0002372574,0.0009251005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006386561,0.00004581853,0.9979661,0.000007394285,0.0001121273,0.00004436931,0.00001849233,0.0001532004,0.00008536005,0.0000200132,0.00006090154,0.0008476927],"study_design_scores_gemma":[0.00001198645,0.0001255767,0.9993165,0.000002445941,0.00004080384,0.00008220551,0.00002009975,0.000310422,0.00002310534,0.00002391368,0.00004007737,0.000002966766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990101,0.0003061072,0.00009202757,0.00005249692,0.000006932711,0.000006115966,0.0001911201,0.000003279343,0.0003317933],"genre_scores_gemma":[0.9995443,0.00005915538,0.00003532467,0.00001188435,0.00001181372,0.000004841809,0.0002400005,0.000002311686,0.00009032747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005425114,"threshold_uncertainty_score":0.01078707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274866782532296,"score_gpt":0.2322176943156783,"score_spread":0.2194690264903553,"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."}}