{"id":"W3139094506","doi":"10.1161/str.52.suppl_1.p336","title":"Abstract P336: Assistance From Automated ASPECTS Software Improves Reader Performance","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuroradiologist; Medicine; Software; Medical physics; Test (biology); Radiology; Computer science; Magnetic resonance imaging; Programming language","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":[0.005304946,0.0004769945,0.0004883701,0.0007376974,0.0002028202,0.0008392732,0.0004444445,0.000569626,0.003640343],"category_scores_gemma":[0.02837679,0.000303635,0.0004214363,0.0004193746,0.0003162044,0.0008811077,0.0005671743,0.0002992506,0.001458345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095184,"about_ca_system_score_gemma":0.0002314936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007347069,"about_ca_topic_score_gemma":0.001035088,"domain_scores_codex":[0.9959012,0.001788485,0.0004160469,0.000910066,0.0008624589,0.0001218212],"domain_scores_gemma":[0.9696144,0.02018019,0.00294809,0.001510858,0.005208252,0.0005382486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01090588,0.0004826246,0.6889799,0.0004595151,0.0006113131,0.0003147454,0.001021659,0.003961349,0.02677037,0.0001107122,0.004540089,0.261842],"study_design_scores_gemma":[0.0003468342,0.004546172,0.9170826,0.0000766365,0.0004074117,0.002244261,0.0002843592,0.03875606,0.03369851,0.000264609,0.002208574,0.0000840404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924309,0.0002895729,0.005240358,0.00008976302,0.00003267256,0.00003626307,0.0001790566,0.0004085195,0.001292949],"genre_scores_gemma":[0.9948438,0.00004253889,0.004353291,0.00003778717,0.00002729232,0.0000154078,0.0001940552,0.00004809474,0.0004376152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005304946,"threshold_uncertainty_score":0.02805561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267389240184218,"score_gpt":0.2520915101624188,"score_spread":0.2394176177605766,"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."}}