{"id":"W4220889944","doi":"10.1002/mds.28943","title":"Using Big Data in Movement Disorders: Disease States and Progression in Huntington's Disease","year":2022,"lang":"en","type":"letter","venue":"Movement Disorders","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Library science; Medicine; Family medicine","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":[0.006657279,0.0004171038,0.0008547711,0.0009251733,0.001743345,0.003583705,0.0009572611,0.01320321,0.004504932],"category_scores_gemma":[0.04682481,0.0004133604,0.0007262255,0.001226902,0.002286782,0.00381173,0.001416032,0.0165642,0.003078612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969068,"about_ca_system_score_gemma":0.002355196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279159,"about_ca_topic_score_gemma":0.007055696,"domain_scores_codex":[0.9953132,0.002411928,0.0007758757,0.0003591048,0.0009292811,0.0002106302],"domain_scores_gemma":[0.9333014,0.05420387,0.002542821,0.001862722,0.004891721,0.003197549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009297298,0.00002660516,0.006049833,0.0001384315,0.00004843509,0.001300459,0.0002068424,0.0001054163,0.0001283828,0.00350148,0.9532695,0.03513164],"study_design_scores_gemma":[0.0002375155,0.0001227832,0.01168731,0.001786342,0.0001386045,0.00640271,0.001533743,0.003631278,0.0006730745,0.09303495,0.880571,0.0001807569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006632487,0.00179945,0.0004054996,0.9857393,0.009195384,0.000008523634,0.0001377754,0.00003704928,0.0020138],"genre_scores_gemma":[0.01930195,0.004578612,0.001263408,0.8594131,0.1111272,0.00008069973,0.0001381487,0.00007132669,0.004025595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01320321,"threshold_uncertainty_score":0.03520745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605437723908576,"score_gpt":0.3080111646139008,"score_spread":0.2474673922230432,"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."}}