{"id":"W2225927969","doi":"10.1016/j.jalz.2015.06.031","title":"IC‐P‐011: Comparison of global and voxel‐based diagnostic classification using [<sup>18</sup>F]florbetapir ROC estimates","year":2015,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Translational Research in Oncology; Montreal Neurological Institute and Hospital; Douglas College; Douglas Mental Health University Institute; McGill University","funders":"","keywords":"Receiver operating characteristic; Precuneus; Posterior cingulate; Voxel; Neuroimaging; Temporal lobe; Nuclear medicine; Orbitofrontal cortex; Alzheimer's disease; Psychology; Standardized uptake value; Medicine; Positron emission tomography; Artificial intelligence; Audiology; Pattern recognition (psychology); Neuroscience; Pathology; Disease; Internal medicine; Cortex (anatomy); Radiology; Prefrontal cortex; Computer science; Cognitive psychology; Epilepsy; Cognition","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":[0.005971733,0.001132317,0.001106507,0.003075107,0.0002303417,0.002087643,0.0009243279,0.00118731,0.002511834],"category_scores_gemma":[0.02033364,0.0002544821,0.0007279543,0.001255981,0.0004753876,0.0008458352,0.0009257266,0.0005642565,0.0009815113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005780736,"about_ca_system_score_gemma":0.0006590061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437494,"about_ca_topic_score_gemma":0.001757949,"domain_scores_codex":[0.9974641,0.001022696,0.0001844677,0.0005982495,0.0004831323,0.0002474793],"domain_scores_gemma":[0.9874395,0.008038876,0.0007981408,0.000853438,0.002113654,0.0007564915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03001509,0.0006447659,0.5973536,0.0007260905,0.002897385,0.0005390156,0.0004241427,0.02977894,0.01128595,0.0007763623,0.01124539,0.3143133],"study_design_scores_gemma":[0.0006365419,0.006638747,0.6605303,0.0001343978,0.001183164,0.002747991,0.0005812375,0.3117327,0.009953512,0.001383191,0.00425867,0.0002194604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751745,0.001515867,0.01458167,0.0001596629,0.0001212948,0.0002180849,0.002993962,0.001239171,0.003995846],"genre_scores_gemma":[0.9887366,0.0001965741,0.006029732,0.00003279642,0.00005847983,0.0001120316,0.004113822,0.00011424,0.0006057088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005971733,"threshold_uncertainty_score":0.03158188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395374036697855,"score_gpt":0.3952573715485119,"score_spread":0.2557199678787264,"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."}}