{"id":"W2088811746","doi":"10.1159/000068826","title":"Infarct Volume on Apparent Diffusion Coefficient Maps Correlates with Length of Stay and Outcome after Middle Cerebral Artery Stroke","year":2003,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerische Akademie der Medizinischen Wissenschaften; Akademie der Naturwissenschaften; Academy of Medical Sciences; Novartis Foundation","keywords":"Medicine; Modified Rankin Scale; Effective diffusion coefficient; Middle cerebral artery; Cardiology; Glasgow Outcome Scale; Infarction; Internal medicine; Diffusion MRI; Logistic regression; Nuclear medicine; Stroke (engine); Cerebral infarction; Magnetic resonance imaging; Ischemia; Radiology; Anesthesia; Ischemic stroke; Glasgow Coma Scale; Myocardial infarction","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":[0.0003651494,0.0002852276,0.0002440163,0.0004970427,0.000196615,0.0003313507,0.000195735,0.0003777918,0.001478509],"category_scores_gemma":[0.003557915,0.0001165063,0.0001680745,0.0002640842,0.0003308901,0.0003654613,0.0003156129,0.0004101506,0.0002977852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955223,"about_ca_system_score_gemma":0.0001512244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008811103,"about_ca_topic_score_gemma":0.001029518,"domain_scores_codex":[0.9998061,0.00004814363,0.00002488671,0.00002782579,0.00004330343,0.00004982103],"domain_scores_gemma":[0.9972294,0.0007015106,0.001292071,0.00007159643,0.000207612,0.0004977998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003617881,0.00003548556,0.9969386,0.000007366721,0.00003651979,0.0001098544,0.00004209829,0.00006872131,0.000508543,0.000008024774,0.0001152315,0.001767765],"study_design_scores_gemma":[0.000006033432,0.0001425803,0.9991494,0.000002713538,0.00001440309,0.0003321644,0.00003833721,0.0001762699,0.00007366808,0.00002245224,0.00003928368,0.000002632069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995004,0.0001689066,0.00006038819,0.00003124269,0.000003065765,0.000003252091,0.00005467473,0.00000384685,0.0001742476],"genre_scores_gemma":[0.9995927,0.00007100466,0.00006257098,0.00001131828,0.00001486181,0.000004849937,0.0001753545,0.000001412627,0.0000658417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001478509,"threshold_uncertainty_score":0.004946172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009201073953516811,"score_gpt":0.2091887199786024,"score_spread":0.1999876460250856,"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."}}