{"id":"W3084377018","doi":"10.1017/cjn.2020.196","title":"Diagnostic Impact of Cerebrospinal Fluid Biomarkers in Atypical Dementias in Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Alzheimer Nederland; McGill University; Alzheimer's Association","keywords":"Medicine; Dementia; Gold standard (test); Medical diagnosis; Cerebrospinal fluid; Lumbar puncture; Neuroimaging; Radiology; Cognitive decline; Internal medicine; Pathology; Disease; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.002322691,0.0004267484,0.0005155627,0.00245428,0.002181632,0.002275498,0.001069536,0.0005389035,0.001007128],"category_scores_gemma":[0.02022664,0.0002809506,0.000344477,0.00341963,0.001143795,0.0005229234,0.001654526,0.0006202242,0.0001623547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02277197,"about_ca_system_score_gemma":0.02781297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9146416,"about_ca_topic_score_gemma":0.9286023,"domain_scores_codex":[0.9960999,0.0004659136,0.0004207616,0.0003969882,0.001980477,0.0006360436],"domain_scores_gemma":[0.9836606,0.001994052,0.002803659,0.0002532792,0.009783833,0.001504696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002739396,0.0000461094,0.9853246,0.00009397486,0.0000441728,0.000398319,0.000391528,0.0001420979,0.0002120848,0.00007202726,0.0005315672,0.01246956],"study_design_scores_gemma":[0.00002414095,0.000125627,0.9928849,0.000214602,0.00008425788,0.001144557,0.001942488,0.001493878,0.0004762666,0.000109243,0.001467968,0.00003199926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917164,0.003386401,0.0001386058,0.000732558,0.00003385132,0.00008164765,0.001166427,0.00001082813,0.002733294],"genre_scores_gemma":[0.9976998,0.001151805,0.0004066238,0.0001238445,0.00001510892,0.00001031925,0.0004702056,0.000002477896,0.0001199109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08535838,"threshold_uncertainty_score":0.1717221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358492462869052,"score_gpt":0.3046600741575576,"score_spread":0.2688108278706524,"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."}}