{"id":"W2994908519","doi":"10.3233/jpd-191775","title":"The Quebec Parkinson Network: A Researcher-Patient Matching Platform and Multimodal Biorepository","year":2019,"lang":"en","type":"article","venue":"Journal of Parkinson s Disease","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; Université du Québec à Montréal; Canadian Sleep & Circadian Network; Centre hospitalier universitaire de Québec; University of Calgary; Centre Hospitalier de l’Université de Montréal; McGill University; Université de Montréal; Université Laval; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Drug Abuse; National Institute of Mental Health; Fonds de Recherche du Québec - Santé; Parkinson Canada; Canadian Institutes of Health Research; National Institutes of Health; Fondation Brain Canada; McGill University","keywords":"Medicine; Parkinson's disease; Cohort; Dyskinesia; Movement disorders; Disease; Internal medicine; Physical medicine and rehabilitation; Pediatrics; Physical therapy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.03209668,0.0009672748,0.00135022,0.005674365,0.004579699,0.003204889,0.003453661,0.001528883,0.04893915],"category_scores_gemma":[0.05219453,0.0008745748,0.0007715719,0.006821603,0.00113159,0.001567931,0.004809552,0.001256205,0.01181971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01903654,"about_ca_system_score_gemma":0.07539234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6456434,"about_ca_topic_score_gemma":0.6765857,"domain_scores_codex":[0.9851592,0.006581879,0.001357608,0.001956564,0.003513199,0.001431501],"domain_scores_gemma":[0.9187228,0.01110402,0.006518865,0.0120908,0.03997019,0.01159327],"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":[0.002941597,0.0006926382,0.1414721,0.001113318,0.000244382,0.001013456,0.001614042,0.0006100897,0.001469469,0.005768534,0.6408554,0.202205],"study_design_scores_gemma":[0.001989023,0.0006836602,0.1797835,0.002321765,0.0002694899,0.0007304504,0.001719161,0.003331602,0.001092853,0.002576581,0.8052987,0.0002031774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1180034,0.01179595,0.07836377,0.03159555,0.004623147,0.09212212,0.5314835,0.00508854,0.126924],"genre_scores_gemma":[0.3627844,0.007969796,0.1590321,0.02215194,0.002221133,0.1012851,0.2550618,0.002138176,0.08735555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6456434,"threshold_uncertainty_score":0.712887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667393963629536,"score_gpt":0.2764286174980469,"score_spread":0.2597546778617515,"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."}}