{"id":"W6889899836","doi":"10.26226/morressier.5cb58cf5c668520010b5659a","title":"VALIDATION OF AUTOMATED ASPECTS SOFTWARE FOR DETECTION OF EARLY ISCHEMIC BRAIN CHANGES ON NON-CONTRAST CT SCANS","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ground truth; Set (abstract data type); Software; Computed tomography; Stroke (engine); Test (biology); Receiver operating characteristic; Limits of agreement","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":[0.01492599,0.0008304834,0.0005531636,0.002527977,0.0003701187,0.001027946,0.001329467,0.0009674061,0.0008194899],"category_scores_gemma":[0.02959925,0.0004765393,0.0005906778,0.0006655364,0.0007004497,0.0007606107,0.00106232,0.0003215282,0.0005476792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591988,"about_ca_system_score_gemma":0.0005977551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450572,"about_ca_topic_score_gemma":0.002008219,"domain_scores_codex":[0.990772,0.003918599,0.0009685985,0.001670794,0.002295774,0.0003741457],"domain_scores_gemma":[0.9766063,0.01130971,0.001919797,0.0023057,0.00726922,0.0005892871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01237215,0.0009364309,0.7063906,0.0004509776,0.000832737,0.0002309063,0.001644135,0.0130938,0.0631974,0.0004158497,0.001445491,0.1989896],"study_design_scores_gemma":[0.0006088641,0.004745428,0.8239508,0.0001480185,0.0004998326,0.001330772,0.000377876,0.1157304,0.04989887,0.0004276298,0.002165214,0.0001163585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9702384,0.0003191712,0.02737394,0.00002342817,0.00003218959,0.000292479,0.0003348509,0.0004866274,0.0008989476],"genre_scores_gemma":[0.9739904,0.00008191689,0.02433866,0.00003096886,0.00002590367,0.0002448471,0.0009420985,0.0000820225,0.0002632393],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01492599,"threshold_uncertainty_score":0.07893711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617476067214133,"score_gpt":0.3478102941654658,"score_spread":0.2860626874440525,"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."}}