{"id":"W4205285180","doi":"10.7717/peerj.12789","title":"The value of diffusion weighted imaging-alberta stroke program early CT score in predicting stroke-associated pneumonia in patients with acute cerebral infarction: a retrospective study","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Logistic regression; Stroke (engine); Internal medicine; Confounding; Odds ratio; Retrospective cohort study; Atrial fibrillation; Diffusion MRI; Cerebral infarction; Pneumonia; Cardiology; Radiology; Magnetic resonance imaging; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264483,0.0003277933,0.0004285015,0.00128139,0.0003966177,0.0006979373,0.0003448989,0.0004092055,0.0005685407],"category_scores_gemma":[0.002707308,0.0003965644,0.0005463475,0.001096335,0.000370283,0.0007012007,0.0003581175,0.0004619323,0.0001585973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221948,"about_ca_system_score_gemma":0.0003606469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804193,"about_ca_topic_score_gemma":0.001854472,"domain_scores_codex":[0.9990187,0.0002297884,0.00021118,0.0002242832,0.0002092604,0.0001068694],"domain_scores_gemma":[0.9985651,0.0003628194,0.0005384712,0.0001319489,0.0002257988,0.0001757906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004262053,0.00001233663,0.9992182,0.000007349599,0.00003202999,0.00009453839,0.000016981,0.0000170859,0.00003827916,0.000006109457,0.00001953047,0.0004948686],"study_design_scores_gemma":[0.00001172473,0.0001695482,0.9967417,0.00001481191,0.0001136296,0.001936981,0.0002295289,0.000333092,0.0001201453,0.00003527841,0.000284214,0.000009286129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982116,0.001088247,0.0001800031,0.00003541625,0.000009654216,0.00001605931,0.0001583189,0.000002925906,0.0002978441],"genre_scores_gemma":[0.9993013,0.0003077415,0.0001059848,0.00002050883,0.00001861483,0.00001142171,0.0001973054,0.000001231671,0.00003589509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804193,"threshold_uncertainty_score":0.006687284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004340379715605899,"score_gpt":0.2269939035033511,"score_spread":0.2226535237877452,"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."}}