{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001617542,0.001182574,0.002081622,0.02736894,0.0004708079,0.001936322,0.006978888,0.000966652,0.001463489],"category_scores_gemma":[0.001470633,0.00116189,0.0004055328,0.01373497,0.001256404,0.007610808,0.002819815,0.001330546,0.0008532696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009453345,"about_ca_system_score_gemma":0.002648253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432761,"about_ca_topic_score_gemma":0.0002450096,"domain_scores_codex":[0.9917126,0.00109623,0.00107515,0.002056354,0.002241013,0.001818604],"domain_scores_gemma":[0.9914025,0.001614219,0.002298371,0.003664695,0.0003367121,0.0006835053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002060276,0.0004582276,0.00106167,0.001854341,0.0005653557,0.00006567086,0.00006479401,0.000004165119,0.05192766,0.0002326145,0.9370661,0.004639084],"study_design_scores_gemma":[0.002821485,0.001888706,0.002144926,0.003138878,0.00007068632,0.00001014098,0.0000230715,0.00009889093,0.5626177,0.0002984385,0.426021,0.0008660621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02675582,0.00287302,0.0002143775,0.002809877,0.001269318,0.02574834,0.06842314,0.006900253,0.8650059],"genre_scores_gemma":[0.1217141,0.001423209,0.005746325,0.0002887213,0.002451008,0.003624823,0.03537071,0.009312705,0.8200684],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5110451,"threshold_uncertainty_score":0.9999247,"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."}}