{"id":"W3206271349","doi":"10.1016/j.parkreldis.2021.10.001","title":"The commercial genetic testing landscape for Parkinson's disease","year":2021,"lang":"en","type":"article","venue":"Parkinsonism & Related Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University; Montreal Neurological Institute and Hospital; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute","keywords":"Genetic testing; Parkinsonism; LRRK2; Parkinson's disease; Medicine; Gene; Disease; Genetics; Genetic heterogeneity; Bioinformatics; Biology; Pathology; Phenotype","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":[0.03428801,0.0003721733,0.0003752497,0.002515052,0.0008660668,0.004036415,0.002342861,0.002055884,0.01236624],"category_scores_gemma":[0.0500967,0.0002100689,0.0005065128,0.002371875,0.002716363,0.00228003,0.002275058,0.002340722,0.002210976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003382745,"about_ca_system_score_gemma":0.005722183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004803368,"about_ca_topic_score_gemma":0.006660613,"domain_scores_codex":[0.9846241,0.005910139,0.001618344,0.002335765,0.004777211,0.0007342923],"domain_scores_gemma":[0.8785014,0.05832439,0.01812113,0.005551147,0.02892108,0.01058071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006703138,0.0001921231,0.151656,0.001173206,0.0001226213,0.001991473,0.0009309443,0.001234415,0.007606999,0.03084526,0.2398002,0.5637766],"study_design_scores_gemma":[0.0001984498,0.0009643665,0.164,0.004763862,0.0002476332,0.01080269,0.002144474,0.003543856,0.006926812,0.03115484,0.7750829,0.0001700965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1599092,0.07645074,0.03348277,0.6016192,0.002993478,0.000433976,0.009469328,0.002522806,0.1131185],"genre_scores_gemma":[0.7366796,0.02772549,0.05843716,0.1484739,0.007582184,0.0003048075,0.01161388,0.0006233504,0.008559515],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03428801,"threshold_uncertainty_score":0.1813344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153141840229781,"score_gpt":0.2555990412594393,"score_spread":0.2402848572364612,"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."}}