{"id":"W4281769686","doi":"10.1038/s41597-022-01341-2","title":"Multi sequence average templates for aging and neurodegenerative disease populations","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Alberta; McGill University","funders":"Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Dementia; Cognitive impairment; Template; Dementia with Lewy bodies; Atrophy; Vascular dementia; Cognition; Magnetic resonance imaging; Disease; Medicine; Neuroscience; Audiology; Psychology; Pathology; Computer science; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002060948,0.000720124,0.0006596379,0.001548726,0.0005467974,0.001161953,0.0009877707,0.0009402185,0.007044917],"category_scores_gemma":[0.007380043,0.0004600241,0.001355033,0.001469114,0.0003194082,0.0009993879,0.001153911,0.0007803329,0.002351411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089028,"about_ca_system_score_gemma":0.00110816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214453,"about_ca_topic_score_gemma":0.005584714,"domain_scores_codex":[0.9993768,0.000147245,0.00009769823,0.0001886832,0.000133953,0.00005567825],"domain_scores_gemma":[0.9981668,0.0006740623,0.0001816695,0.0003977514,0.0004949085,0.00008478895],"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":[0.001171437,0.0002139941,0.02252988,0.0004280096,0.0004663522,0.0008189165,0.0006282071,0.08962722,0.05461628,0.01613653,0.02376411,0.7895991],"study_design_scores_gemma":[0.000132215,0.0006424909,0.04020528,0.0001478258,0.0004546836,0.004615493,0.0003345173,0.7269779,0.1004833,0.04779583,0.07799498,0.0002153808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.03986899,0.0008258498,0.9490452,0.0001779711,0.0001762741,0.0002035409,0.00317395,0.003818247,0.002709968],"genre_scores_gemma":[0.1876736,0.0007184388,0.7948213,0.0002582283,0.0001231214,0.0008309259,0.009877814,0.001953936,0.003742765],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.007044917,"threshold_uncertainty_score":0.02356756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388148745354701,"score_gpt":0.423258379006209,"score_spread":0.1844435044707389,"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."}}