{"id":"W4417025391","doi":"10.1002/mds.70136","title":"Reply to: Deep Learning to Differentiate Parkinsonian Syndromes: From Proof of Concept to Clinical Trust","year":2025,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Chugiak-Eagle River Foundation; Agence Nationale de la Recherche","keywords":"Deep learning; Proof of concept; Deep brain stimulation; Parkinson's disease; Clinical neurology","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":[0.006593101,0.001008449,0.002038894,0.001075126,0.002969174,0.003578077,0.002618934,0.04586114,0.00908943],"category_scores_gemma":[0.07690693,0.000911082,0.001891429,0.001011938,0.00414946,0.003543232,0.00205864,0.05157121,0.01154812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003695687,"about_ca_system_score_gemma":0.006434062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006667456,"about_ca_topic_score_gemma":0.006904264,"domain_scores_codex":[0.995789,0.001018668,0.0009397656,0.0005893086,0.001211896,0.0004513919],"domain_scores_gemma":[0.9712312,0.01635392,0.001267971,0.0007088641,0.00862628,0.001811693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007328013,0.00001046796,0.0002633212,0.00009789669,0.00002478104,0.0002477428,0.0000598725,0.00004841345,0.0001068239,0.001118891,0.994541,0.003407535],"study_design_scores_gemma":[0.0002044217,0.00007751992,0.001606462,0.0006832901,0.00008656645,0.001198383,0.0002960263,0.000503407,0.0005077288,0.009042929,0.9856725,0.0001207913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001256377,0.001140854,0.0002414691,0.9494597,0.0482711,0.00002022665,0.0001926785,0.00004373247,0.0005045888],"genre_scores_gemma":[0.001428121,0.000895906,0.0002875298,0.9582707,0.03624362,0.0000653184,0.00006678721,0.00002312835,0.002718917],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04586114,"threshold_uncertainty_score":0.034868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893365976594162,"score_gpt":0.3240092611351107,"score_spread":0.3050756013691691,"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."}}