{"id":"W7073715558","doi":"","title":"A Bayesian mathematical model of motor and cognitive outcomes in Parkinson's disease.","year":2017,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Disease; Rating scale; Activities of daily living; Cohort; Longitudinal study; Montreal Cognitive Assessment; Cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005635658,0.001380121,0.001736831,0.001745149,0.0006845314,0.002159771,0.002865345,0.002753977,0.005319522],"category_scores_gemma":[0.01813981,0.001032165,0.001530194,0.001493137,0.002152018,0.0026035,0.00132775,0.002785356,0.0009140827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002882329,"about_ca_system_score_gemma":0.002229296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592446,"about_ca_topic_score_gemma":0.01574814,"domain_scores_codex":[0.9984989,0.0007254891,0.00005504461,0.0002816085,0.0002047323,0.0002342864],"domain_scores_gemma":[0.9904551,0.007385352,0.001067639,0.0002068321,0.0006263008,0.0002588048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001054745,0.00007238043,0.005336049,0.0001058651,0.0001091114,0.0002507377,0.0002164325,0.7894693,0.0002153384,0.1895629,0.003266976,0.01128944],"study_design_scores_gemma":[0.00005927184,0.00004054241,0.0008968419,0.00003250589,0.00003181719,0.00008212521,0.00002602141,0.905129,0.00003426232,0.09237898,0.001264087,0.0000245583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09881088,0.002661096,0.8733776,0.007557651,0.0002420924,0.0003316746,0.004544249,0.0004469421,0.01202785],"genre_scores_gemma":[0.8975772,0.002966203,0.07139411,0.000749722,0.0003658426,0.001246119,0.002301599,0.0001121329,0.02328711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02592446,"threshold_uncertainty_score":0.05154711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655168785302161,"score_gpt":0.2420548407020185,"score_spread":0.1855031528489968,"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."}}