{"id":"W4387258954","doi":"10.3390/tomography9050144","title":"Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?—A Scoping Review","year":2023,"lang":"en","type":"article","venue":"Tomography","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto; University of Ottawa","funders":"","keywords":"Neuroimaging; Vasculitis; Artificial intelligence; Computer science; Medicine; Machine learning; Systemic vasculitis; Intensive care medicine; Pathology; Disease; Psychiatry","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0116475,0.001124636,0.003312506,0.01766653,0.0006639985,0.003618619,0.002087949,0.001805752,0.00221439],"category_scores_gemma":[0.05811324,0.0005925879,0.003564881,0.01128573,0.001293367,0.004193455,0.001295572,0.001606064,0.0004732927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006023,"about_ca_system_score_gemma":0.008341704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006982269,"about_ca_topic_score_gemma":0.01150011,"domain_scores_codex":[0.9944586,0.001455454,0.002473655,0.0003136697,0.001190981,0.0001077351],"domain_scores_gemma":[0.9511178,0.0381818,0.004190683,0.0006246103,0.005666555,0.0002184122],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001021586,0.00004740785,0.002118418,0.2797695,0.001554457,0.0001891897,0.0004260601,0.0004355921,0.0002358358,0.002977556,0.01103052,0.7011133],"study_design_scores_gemma":[0.0000435258,0.0001117004,0.004417387,0.8839698,0.006670762,0.0008749063,0.0006008927,0.0005327375,0.0003033409,0.00275894,0.09965285,0.00006309612],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003721949,0.9971104,0.0005293208,0.0009559919,0.0002197264,0.0001074245,0.00009936008,0.000009966666,0.0005954758],"genre_scores_gemma":[0.004052183,0.992202,0.002577937,0.0005414233,0.0001873222,0.0001738791,0.0001517085,0.000005799902,0.0001077007],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9966875,"threshold_uncertainty_score":0.06159866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04370664589605579,"score_gpt":0.2884216153368213,"score_spread":0.2447149694407655,"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."}}