{"id":"W3151318878","doi":"10.1101/2021.04.02.21253083","title":"Single Site performance of AI software for stroke detection and Triage","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre; McGill University","funders":"","keywords":"Triage; Software; Stroke (engine); Medicine; Acute stroke; Medical emergency; Emergency medicine; Computer science; Radiology; Emergency department; Operating system; Engineering; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004805514,0.0004658987,0.0006774212,0.003295171,0.0002207225,0.001606315,0.000715765,0.0003733222,0.001678888],"category_scores_gemma":[0.0252185,0.0002029391,0.0004657211,0.001634585,0.0003500778,0.0007826333,0.0006633801,0.0003367168,0.0009086122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124083,"about_ca_system_score_gemma":0.0006189163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952811,"about_ca_topic_score_gemma":0.001398141,"domain_scores_codex":[0.9953842,0.001533363,0.0008631769,0.000990758,0.0009700179,0.0002585905],"domain_scores_gemma":[0.9638904,0.02225581,0.005426704,0.002956676,0.004585919,0.0008844087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002969711,0.0004694432,0.8524651,0.0002684978,0.0003386071,0.0002232414,0.0003811496,0.007530249,0.00449331,0.0002999417,0.002556961,0.1280037],"study_design_scores_gemma":[0.0002818846,0.003671853,0.8771916,0.00009478986,0.0003380634,0.001794631,0.0004128698,0.08661189,0.0239447,0.0008644451,0.004670818,0.0001225753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868004,0.0003845779,0.006964152,0.00008438416,0.00002968517,0.0001336325,0.002523179,0.0009197419,0.002160287],"genre_scores_gemma":[0.9933267,0.00009366389,0.003933956,0.00002637269,0.00003095008,0.00006657236,0.002215371,0.0000530906,0.000253444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004805514,"threshold_uncertainty_score":0.02541435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031116272047876,"score_gpt":0.2591757309973627,"score_spread":0.2388645682768839,"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."}}