{"id":"W3162677054","doi":"10.1002/acn3.51320","title":"Artificial intelligence extension of the OSCAR‐IB criteria","year":2021,"lang":"en","type":"review","venue":"Annals of Clinical and Translational Neurology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Medical Research Council; Epilepsy Society; University College London; Moorfields Eye Hospital NHS Foundation Trust; Rosetrees Trust; Sight Research UK; National Institute for Health and Care Research","keywords":"Medicine; Extension (predicate logic); Artificial intelligence; Computer science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008590555,0.0001651432,0.001492354,0.00007804616,0.00005143378,0.000004296382,0.0001176104,0.0004723091,0.0001543735],"category_scores_gemma":[0.001063073,0.0001083585,0.0007089463,0.0002471401,0.0005559437,0.00002949047,0.00003333243,0.0005753297,0.000005994241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":2.726512e-7,"about_ca_system_score_gemma":0.000579922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551491,"about_ca_topic_score_gemma":0.00002493455,"domain_scores_codex":[0.9964256,0.0005475464,0.002279068,0.0003694406,0.0002219451,0.000156382],"domain_scores_gemma":[0.9963356,0.002286975,0.0005120424,0.0003116531,0.0004526006,0.0001011652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001147307,0.0002176008,0.001339005,0.002116847,0.00006094965,0.000004845362,0.00004384156,0.000001302873,7.296867e-7,0.003936612,0.0001264709,0.9920371],"study_design_scores_gemma":[0.00003807266,0.001152766,0.01513321,0.006494188,0.001083048,0.000229592,0.00002895335,0.0002377292,0.0002667159,0.05000314,0.9250413,0.0002912916],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00540295,0.9787503,0.0001223111,0.01393679,0.001168894,0.0004327005,0.00003846763,0.000006468724,0.0001410692],"genre_scores_gemma":[0.03960492,0.9583954,0.0000843739,0.001323409,0.0004974377,0.000009448197,0.00004988703,0.00001411609,0.000021023],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917458,"threshold_uncertainty_score":0.4418729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7510564279980739,"score_gpt":0.6249387866685774,"score_spread":0.1261176413294965,"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."}}