{"id":"W3118043980","doi":"10.18502/cjn.v19i2.4940","title":"Predictive value of inflammatory markers for functional outcomes in patients with ischemic stroke","year":2020,"lang":"en","type":"article","venue":"Current Journal of Neurology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Modified Rankin Scale; Magnetic resonance imaging; Internal medicine; Tumor necrosis factor alpha; Pathophysiology; Ischemic stroke; Cardiology; Interleukin 6; Inflammation; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169325,0.0001376342,0.0002847773,0.0001854564,0.00003624784,0.000009314804,0.0001918309,0.00004344063,0.00002391722],"category_scores_gemma":[0.0006887327,0.0001109329,0.0001022119,0.0001344539,0.00007418684,0.000215889,0.00003644643,0.0003377087,0.000002445632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009988642,"about_ca_system_score_gemma":0.00009546982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.383635e-8,"about_ca_topic_score_gemma":2.106969e-7,"domain_scores_codex":[0.998459,0.0001942935,0.0005864124,0.0002286113,0.000368539,0.0001631717],"domain_scores_gemma":[0.9986638,0.0003589892,0.0006135125,0.00009090444,0.0001627069,0.0001100829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01520178,0.0006784394,0.4225423,0.0001486296,0.00003732784,0.00003127521,0.0003618241,0.01276833,0.5411615,0.00228761,0.003071254,0.001709755],"study_design_scores_gemma":[0.01773161,0.01002863,0.5164465,0.00004794685,0.00008982828,0.00005322597,0.00002322867,0.009494719,0.4376931,0.0001895391,0.007816496,0.0003852444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940756,0.000009179969,0.003557188,0.001016925,0.0009320913,0.0003236389,0.00004282132,0.00001205121,0.00003049743],"genre_scores_gemma":[0.9986722,0.00001368966,0.0000683099,0.001126136,0.00008620858,0.000007619441,0.000002471861,0.00001668373,0.000006644224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1034684,"threshold_uncertainty_score":0.4523711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885067845679613,"score_gpt":0.2491049255083667,"score_spread":0.2202542470515705,"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."}}