{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0139544,0.0009960937,0.001236368,0.00217349,0.002265579,0.009178977,0.001551305,0.006990126,0.003772912],"category_scores_gemma":[0.008018872,0.0005070074,0.0009152112,0.002137286,0.005353329,0.01410148,0.004862419,0.006698998,0.001851401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434119,"about_ca_system_score_gemma":0.007564884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741474,"about_ca_topic_score_gemma":0.002224208,"domain_scores_codex":[0.993669,0.002196165,0.0005886442,0.0005389801,0.00241393,0.0005933284],"domain_scores_gemma":[0.9866145,0.008513507,0.0004571154,0.0004439059,0.002961221,0.001009584],"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":[0.00009586288,0.0002208292,0.002184793,0.005660519,0.00004686254,0.0007143559,0.002520869,0.001767484,0.005172771,0.2351767,0.06940134,0.6770376],"study_design_scores_gemma":[0.00001678381,0.0003894533,0.001023735,0.005403046,0.00003282493,0.001206213,0.003576608,0.001693844,0.001509912,0.1308115,0.8542216,0.0001143949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00480944,0.7918435,0.02112064,0.1486181,0.007098421,0.0001180022,0.0000889259,0.0001440521,0.02615891],"genre_scores_gemma":[0.04459368,0.8699673,0.0491895,0.01921336,0.006642431,0.0002352223,0.0001649071,0.00009802016,0.009895546],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0139544,"threshold_uncertainty_score":0.07379884,"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."}}