{"id":"W7035906489","doi":"","title":"Acute brain infarct: detection and delineation with CT angiographic source images versus nonenhanced CT scans.","year":2007,"lang":"en","type":"article","venue":"CINECA IRIS Institutial Research Information System (University of Genoa)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receiver operating characteristic; Stroke (engine); Computed tomographic; Magnetic resonance imaging; Angiography; Cutoff; Tomography; Middle cerebral artery","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":[0.001027556,0.0001298168,0.0001877847,0.0008542122,0.0004140302,0.0000622342,0.0001602588,0.0000566341,0.00001566492],"category_scores_gemma":[0.00006867258,0.000141677,0.0000438395,0.0008521311,0.0002801335,0.000971549,0.00006715761,0.0002311216,0.00001754017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790299,"about_ca_system_score_gemma":0.000074006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009915915,"about_ca_topic_score_gemma":0.0005698611,"domain_scores_codex":[0.9987561,0.0000355241,0.0002469147,0.0001246732,0.0005223243,0.000314494],"domain_scores_gemma":[0.9990011,0.0000829796,0.00009522117,0.0002082267,0.0004608145,0.0001516612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005398687,0.00007381711,0.00718972,0.00510061,0.001150368,0.0004441254,0.008107307,0.08622319,0.0115999,0.002814685,0.004889026,0.8670086],"study_design_scores_gemma":[0.01957752,0.002121254,0.08229543,0.001549495,0.0004468509,0.0007289676,0.04753152,0.4812802,0.01742528,0.00001395371,0.3450405,0.001989028],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3200819,0.00004326212,0.6710145,0.00003597727,0.0001249481,0.0003252309,0.00003182767,0.0001340757,0.008208204],"genre_scores_gemma":[0.9987558,0.00006823823,0.0009939725,0.000005561414,0.00004655539,0.000001189508,0.00004596139,0.000008555033,0.00007422924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8650196,"threshold_uncertainty_score":0.577742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927369955034039,"score_gpt":0.2435645805047648,"score_spread":0.2242908809544245,"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."}}