{"id":"W4415788508","doi":"10.21203/rs.3.rs-7998240/v1","title":"Differential Diagnosis of Cognitive Disorders using Deep Learning Techniques based on Neuroimaging Data","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroimaging; Preprocessor; Convolutional neural network; Deep learning; Binary classification; Cognition; Dementia; Pattern recognition (psychology); Multiclass classification","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":[0.0006746327,0.000691815,0.0005421301,0.002925325,0.0002785104,0.001173531,0.0005839148,0.00103422,0.001163499],"category_scores_gemma":[0.004636306,0.0002123866,0.0006175169,0.000769334,0.0003455838,0.0008032037,0.0008898358,0.0009954282,0.0002889941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003359796,"about_ca_system_score_gemma":0.0007732066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262362,"about_ca_topic_score_gemma":0.003567731,"domain_scores_codex":[0.9997569,0.00005273485,0.00004041764,0.0000500895,0.00005655174,0.00004323816],"domain_scores_gemma":[0.9987152,0.0007117259,0.0001485541,0.00007413217,0.0002254807,0.0001248833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002212725,0.0006003532,0.5913129,0.0004317585,0.0003885693,0.008971529,0.0002330438,0.01438696,0.03759553,0.004316623,0.007236782,0.3323132],"study_design_scores_gemma":[0.0002627109,0.0005795649,0.3504758,0.0006791864,0.000667725,0.019552,0.001092264,0.5087398,0.04268772,0.06993206,0.005212012,0.0001190554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064713,0.003820038,0.07941252,0.00300184,0.000174127,0.0001441693,0.001984326,0.0003109014,0.004680906],"genre_scores_gemma":[0.982856,0.0009978476,0.01473438,0.0001645688,0.00009743379,0.00002983765,0.0006499503,0.00001794663,0.0004520022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002925325,"threshold_uncertainty_score":0.005216718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335130947570367,"score_gpt":0.4718671606672629,"score_spread":0.3383540659102262,"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."}}