{"id":"W2029552789","doi":"10.1373/clinchem.2005.056382","title":"Diagnostic Biomarkers for Stroke: A Stroke Neurologist’s Perspective","year":2005,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Stroke (engine); Subarachnoid hemorrhage; Intracerebral hemorrhage; Medicine; Neurology; Ischemic stroke; Computed tomographic; Intensive care medicine; Cardiology; Ischemia; Internal medicine; Computed tomography; Surgery; Psychiatry","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":[0.006963598,0.001697182,0.003399954,0.003458552,0.001734339,0.004670841,0.003372901,0.03158102,0.005039474],"category_scores_gemma":[0.02486614,0.0009100616,0.001624255,0.001313073,0.003458827,0.01120671,0.001294478,0.02733011,0.003812271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003326349,"about_ca_system_score_gemma":0.002905642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158194,"about_ca_topic_score_gemma":0.003010773,"domain_scores_codex":[0.9951162,0.001500931,0.001068055,0.0004981377,0.001540367,0.000276317],"domain_scores_gemma":[0.980736,0.008991743,0.000802827,0.0003426152,0.006949009,0.002177743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002737533,0.0001842935,0.003074961,0.0008176092,0.0001361369,0.008748037,0.0001427742,0.0003524955,0.0005253339,0.00895805,0.8809808,0.0958058],"study_design_scores_gemma":[0.0005373709,0.0005667266,0.003933266,0.003992357,0.000284527,0.02794259,0.0009704766,0.001791194,0.0004379296,0.04725834,0.9120965,0.0001886974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000502257,0.04662275,0.0006535441,0.9163099,0.03302717,0.00001931807,0.00005342835,0.00003809742,0.002773537],"genre_scores_gemma":[0.00832383,0.08997069,0.002076062,0.5457121,0.3506679,0.00006655831,0.00007518849,0.00002342458,0.003084177],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03158102,"threshold_uncertainty_score":0.03682745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524146143398746,"score_gpt":0.3589586196267318,"score_spread":0.3137171581927444,"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."}}