{"id":"W3111004744","doi":"10.1002/alz.044223","title":"Posterior cortical atrophy in Southeast Asia: Clinical and biomarker profile","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Atrophy; Medicine; Posterior cortical atrophy; Neuroradiology; Cohort; Hyperintensity; Neurology; Dementia; Biomarker; Temporal lobe; Internal medicine; Cognitive decline; Psychology; Pediatrics; Magnetic resonance imaging; Radiology; Disease; Psychiatry; Epilepsy","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":[0.000454557,0.0002626855,0.0003007482,0.001174215,0.0003863029,0.000570135,0.0002170397,0.0002343134,0.00117438],"category_scores_gemma":[0.0009858138,0.0001387929,0.0001904346,0.001171043,0.0003328695,0.0003526687,0.0004329446,0.0001686687,0.0001996966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055977,"about_ca_system_score_gemma":0.0003727905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00510511,"about_ca_topic_score_gemma":0.006710884,"domain_scores_codex":[0.9997981,0.00004725585,0.00004747955,0.00004234259,0.00003697112,0.00002791304],"domain_scores_gemma":[0.9992008,0.0001026768,0.0003556162,0.0000417363,0.000162172,0.0001370759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003336978,0.00001025278,0.9973118,0.00001565608,0.00001909504,0.000719622,0.0001832931,0.00001276858,0.0003801119,0.00001138704,0.00004986366,0.001252891],"study_design_scores_gemma":[0.000001700405,0.0000586534,0.9952194,0.00001966502,0.0000241581,0.003670909,0.0006352654,0.00007928022,0.000103552,0.0000402525,0.0001442382,0.000002850941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992218,0.0002822795,0.00002721236,0.00002965522,0.000001902262,0.000002748427,0.0001266449,0.00000160731,0.0003061887],"genre_scores_gemma":[0.9995126,0.0001870315,0.00004794807,0.00001917518,0.000004423099,0.000002507414,0.0001799491,7.492108e-7,0.00004561322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00510511,"threshold_uncertainty_score":0.01015079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145850785534856,"score_gpt":0.354705434925041,"score_spread":0.2932469270696924,"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."}}