{"id":"W2166805329","doi":"10.1161/01.str.0000259715.53166.25","title":"Factors Influencing the Detection of Early CT Signs of Cerebral Ischemia","year":2007,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"Centre For Medical Engineering, King’s College London; Marmara Üniversitesi; Vlaamse regering; Leids Universitair Medisch Centrum; James Cook University","keywords":"Medicine; Stroke (engine); Computed tomography; Ischemia; Ischemic stroke; Radiology; Cerebral infarction; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002517441,0.0001128439,0.0002104683,0.0001000519,0.00003309927,0.000003459421,0.0001151048,0.00004016227,0.00005290852],"category_scores_gemma":[0.00008947605,0.00007467288,0.0001211733,0.0001625917,0.0001019125,0.00005081213,0.00006553486,0.0001775331,0.000003981746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006306039,"about_ca_system_score_gemma":0.00002674317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002509232,"about_ca_topic_score_gemma":0.00001716188,"domain_scores_codex":[0.9990203,0.00001069235,0.0003113075,0.0001343179,0.000318324,0.0002050955],"domain_scores_gemma":[0.9993029,0.00008615414,0.0001811822,0.000305532,0.00007167933,0.00005259484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006731831,0.00002111065,0.2059951,0.00005129351,0.0001121044,0.000003221553,0.0006459127,0.000001830204,0.7900311,0.00002548237,0.0002088454,0.00283665],"study_design_scores_gemma":[0.0004059851,0.0002162293,0.2045835,0.00003189052,0.00009909731,0.000003207033,0.001665794,0.000007027235,0.7913793,0.000003114882,0.001553467,0.00005132263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802086,0.00006359653,0.001915676,0.00004145014,0.0001074429,0.0002308823,0.000007481357,0.00002710463,0.0173977],"genre_scores_gemma":[0.998717,0.000002078141,0.000204953,0.00004902031,0.00008083007,0.000002388539,0.000002834078,0.00001389517,0.0009270398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185083,"threshold_uncertainty_score":0.3045071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925883664530977,"score_gpt":0.2613816100626964,"score_spread":0.2421227734173866,"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."}}