{"id":"W6958901110","doi":"10.6084/m9.figshare.c.6976309.v1","title":"Evaluating the ability of a predictive vision-based machine learning model to measure changes in gait in response to medication and DBS within individuals with Parkinson’s disease","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto Western Hospital; Vector Institute; SickKids Foundation; University of Toronto; University Health Network","funders":"","keywords":"Gait; Deep brain stimulation; Disease; Parkinson's disease; Time point","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":[0.001621431,0.0009223673,0.0005724571,0.0007438113,0.000215014,0.0007068773,0.0004887223,0.0008817675,0.0009410179],"category_scores_gemma":[0.004103079,0.0002459156,0.0008142188,0.0003024118,0.0002726405,0.0004107187,0.0004133933,0.0007590613,0.0003090756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008141319,"about_ca_system_score_gemma":0.0007927268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060366,"about_ca_topic_score_gemma":0.01128042,"domain_scores_codex":[0.9995335,0.0001106794,0.00003412514,0.000186308,0.00007080915,0.00006466243],"domain_scores_gemma":[0.9982926,0.00105886,0.0001709559,0.0001060175,0.0002701287,0.0001013257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001743714,0.001070804,0.1369926,0.0001194317,0.0007442829,0.0001915595,0.00006499622,0.7501166,0.007596249,0.0002629374,0.001835645,0.09926104],"study_design_scores_gemma":[0.00001300637,0.0002512005,0.009956349,0.00001010547,0.00004019568,0.00002630296,0.00001210031,0.9885777,0.0009275657,0.0001076923,0.00007040737,0.000007374826],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97799,0.000517907,0.01885177,0.0003637041,0.00008457519,0.00005783996,0.0006014063,0.0004152695,0.00111742],"genre_scores_gemma":[0.9964436,0.00005508165,0.002460085,0.000047238,0.00001209751,0.00001530481,0.0006651764,0.000006901645,0.0002946176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060366,"threshold_uncertainty_score":0.04096746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04069841031436434,"score_gpt":0.3115919470629951,"score_spread":0.2708935367486308,"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."}}