{"id":"W2343290709","doi":"10.1002/mds.26642","title":"Technology in Parkinson's disease: Challenges and opportunities","year":2016,"lang":"en","type":"review","venue":"Movement Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":657,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Aging; Canadian Institutes of Health Research; National Heart, Lung, and Blood Institute; Parkinson's UK","keywords":"Parkinson's disease; Sophistication; Disease; Software deployment; Medicine; Computer science; Data science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001154919,0.0005323327,0.00129314,0.000758588,0.00004987036,0.00001353781,0.0001310855,0.000246246,0.0001166497],"category_scores_gemma":[0.0000258907,0.0003764129,0.000234891,0.000115967,0.0001318266,0.0000593032,0.0001413343,0.0001700996,0.00003622408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983794,"about_ca_system_score_gemma":0.000243257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006863532,"about_ca_topic_score_gemma":0.00002315825,"domain_scores_codex":[0.9981596,0.00006559073,0.0003961672,0.0006768483,0.000254707,0.0004470301],"domain_scores_gemma":[0.9989754,0.00004258125,0.0001730653,0.0004958801,0.00001873603,0.0002943377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002378402,0.0003311106,0.0001717482,0.006921993,0.0002728622,0.0002636193,0.0000165148,6.077556e-9,5.760499e-8,0.006536463,0.0001754939,0.9852864],"study_design_scores_gemma":[0.001109665,0.0001310523,0.0005947595,0.01298867,0.000613784,0.000001279084,0.0001270466,7.745448e-7,1.642344e-7,0.02735211,0.9567487,0.0003319439],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005234241,0.9916605,0.000005699044,0.004718327,0.0001081225,0.001294021,0.0001221771,0.0001000856,0.001938667],"genre_scores_gemma":[0.0002511751,0.9969601,0.00003114872,0.0004052411,0.00003764263,0.001004845,0.00009192357,0.00007695468,0.001140988],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9849544,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06186286039135677,"score_gpt":0.3075302566119785,"score_spread":0.2456673962206218,"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."}}