{"id":"W4399619608","doi":"10.1371/journal.pone.0304962","title":"Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; European Commission; National Heart, Lung, and Blood Institute; Doris Duke Charitable Foundation","keywords":"Medicine; Receiver operating characteristic; Interquartile range; Hounsfield scale; Area under the curve; Occlusion; Stroke (engine); Infarction; Radiology; Nuclear medicine; Cardiology; Internal medicine; Myocardial infarction; Computed tomography","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":[0.002078152,0.0008387279,0.0007140015,0.002105199,0.0002653907,0.0010501,0.0007572006,0.0008059565,0.0009931169],"category_scores_gemma":[0.006498919,0.0004176995,0.0005882013,0.0005226394,0.0003046601,0.0005301438,0.0006373279,0.0005740454,0.0007633617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423031,"about_ca_system_score_gemma":0.000774289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004116248,"about_ca_topic_score_gemma":0.006076891,"domain_scores_codex":[0.999253,0.0002426461,0.00006245702,0.0002053271,0.0001547878,0.00008185585],"domain_scores_gemma":[0.9981484,0.0007550138,0.0003195247,0.0001881467,0.0004737696,0.0001151332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001929493,0.0007054349,0.6563758,0.0001698767,0.0004534985,0.0006454922,0.0002114416,0.03447568,0.0236163,0.0002282502,0.004258899,0.2769297],"study_design_scores_gemma":[0.0001508982,0.0005595184,0.3696338,0.00006600368,0.0002241872,0.001885913,0.0001051653,0.6063625,0.01905609,0.0005820649,0.001314072,0.00005992501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903511,0.0005781959,0.08958616,0.0002905353,0.00004725386,0.0003013001,0.001721229,0.002729315,0.001235059],"genre_scores_gemma":[0.9660121,0.0001235282,0.03071223,0.00008242369,0.00003484797,0.00008430817,0.002467479,0.00005331071,0.000429787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004116248,"threshold_uncertainty_score":0.01099044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936672952833994,"score_gpt":0.227293663212791,"score_spread":0.2079269336844511,"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."}}