{"id":"W2113272032","doi":"10.1007/bf02984658","title":"Predicting human performance by channelized Hotelling observer in discriminating between Alzheimer’s dementia and controls using statistically processed brain perfusion SPECT","year":2006,"lang":"en","type":"article","venue":"Annals of Nuclear Medicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Medicine; Receiver operating characteristic; Observer (physics); Nuclear medicine; Dementia; Artificial intelligence; Alzheimer's disease; Spect imaging; Human brain; Pattern recognition (psychology); Pathology; Disease; Internal medicine; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001696903,0.0003738024,0.0002458312,0.0004983907,0.0001618441,0.0004607438,0.000158228,0.0005446473,0.0007349265],"category_scores_gemma":[0.003361206,0.0001207894,0.0002421285,0.0001838515,0.000247885,0.0003934465,0.0002027229,0.0002054339,0.0003147688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447032,"about_ca_system_score_gemma":0.0002492169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003303907,"about_ca_topic_score_gemma":0.003511966,"domain_scores_codex":[0.9997037,0.0001292775,0.00002065986,0.00006454041,0.00003215756,0.00004970943],"domain_scores_gemma":[0.9985135,0.0009286691,0.00008004373,0.0001157147,0.0002160165,0.0001460896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01191244,0.0006317862,0.7378196,0.0001537548,0.0005455008,0.0006479422,0.0008146058,0.01306732,0.104195,0.0008019735,0.00121634,0.1281937],"study_design_scores_gemma":[0.00008876759,0.002518568,0.7830083,0.00001588578,0.0001766567,0.001146249,0.0004571081,0.1900205,0.02122546,0.0008195512,0.0004533785,0.00006957753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923821,0.00009569454,0.006874274,0.00001729867,0.0000175007,0.00001817102,0.00009804556,0.00005644239,0.0004404342],"genre_scores_gemma":[0.997248,0.00004943278,0.002344029,0.00001002985,0.000006842081,0.000005575058,0.0001163455,0.000006133816,0.0002135532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003303907,"threshold_uncertainty_score":0.008974195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09371623402381743,"score_gpt":0.3748531915127567,"score_spread":0.2811369574889393,"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."}}