{"id":"W4380884118","doi":"10.1002/alz.067382","title":"Unique combinations of shape morphometric features improves discriminability of ftld phenotypes","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"","keywords":"Progressive supranuclear palsy; Primary progressive aphasia; Frontotemporal lobar degeneration; Frontotemporal dementia; Medicine; Phenotype; Principal component analysis; Pathology; Pattern recognition (psychology); Artificial intelligence; Biology; Genetics; Disease; Dementia; Computer science","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":[0.001334794,0.0007832536,0.0007308237,0.002285235,0.0002914498,0.001011586,0.0003005181,0.0005153666,0.001400514],"category_scores_gemma":[0.003916583,0.0002238641,0.0007494486,0.0007546106,0.0004557063,0.0005382769,0.0007676855,0.0005294575,0.0004348189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628857,"about_ca_system_score_gemma":0.0002289252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018339,"about_ca_topic_score_gemma":0.00134418,"domain_scores_codex":[0.9994681,0.0001131342,0.00005932278,0.0002019988,0.0001038573,0.00005352981],"domain_scores_gemma":[0.9979638,0.0009117447,0.0004004345,0.0002719344,0.0002673864,0.0001847326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002308088,0.0002344914,0.7234928,0.000167919,0.0009039614,0.0004012485,0.000338633,0.008151601,0.1129541,0.000398942,0.001285668,0.1493625],"study_design_scores_gemma":[0.00004035552,0.0004553144,0.8980786,0.00003985563,0.0002388649,0.001802337,0.0002229397,0.07607602,0.02066445,0.001571773,0.000742893,0.00006663267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907656,0.0002307362,0.007715294,0.0000566442,0.00001291945,0.0000134064,0.0005446248,0.000192252,0.000468701],"genre_scores_gemma":[0.9955091,0.00004681189,0.003770826,0.000009690674,0.00001050181,0.00000783839,0.0005085253,0.00002679171,0.000109905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002285235,"threshold_uncertainty_score":0.007059097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842911056909213,"score_gpt":0.2959197165510793,"score_spread":0.2474906059819872,"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."}}