{"id":"W6992961107","doi":"","title":"MRI vs CT for Baseline Imaging Evaluation in Acute Large Artery Ischemic Stroke.","year":2024,"lang":"en","type":"article","venue":"Bern Open Repository and Information System (University of Bern)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thrombolysis; Modified Rankin Scale; Stroke (engine); Magnetic resonance imaging; Acute stroke; Odds ratio; Occlusion","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":[],"consensus_categories":[],"category_scores_codex":[0.001085706,0.0001092865,0.0002541062,0.0002470239,0.0001199168,0.0001080088,0.0001519553,0.00004005492,0.00002943485],"category_scores_gemma":[0.000009636334,0.000119936,0.00007510556,0.0001397284,0.00002762907,0.002415994,0.0001832421,0.00009172678,0.00002184395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301517,"about_ca_system_score_gemma":0.0001033399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109582,"about_ca_topic_score_gemma":0.000003882574,"domain_scores_codex":[0.9990311,0.00004543337,0.0003187061,0.0001740396,0.0002894727,0.0001412429],"domain_scores_gemma":[0.9993458,0.00004439718,0.0001751488,0.0002091498,0.0001657836,0.00005974881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007911665,0.0004257601,0.135497,0.02287142,0.004061948,0.001001071,0.03560404,0.0002998845,0.0247662,0.007386825,0.6542105,0.1059637],"study_design_scores_gemma":[0.01002959,0.0001944872,0.01356263,0.002756265,0.00144899,0.0007988561,0.03800731,0.4851538,0.003105702,0.000002824986,0.4445321,0.0004074686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913423,0.0003597733,0.05177855,0.001502777,0.0006102019,0.003583816,0.0002672411,0.0001255342,0.1504298],"genre_scores_gemma":[0.9938588,0.00001906771,0.001421546,0.000099595,0.00004169699,0.00000885698,0.0002569774,0.000007333087,0.004286162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4848539,"threshold_uncertainty_score":0.4890848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009740521913168364,"score_gpt":0.2389650807172567,"score_spread":0.2292245588040883,"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."}}