{"id":"W2612876124","doi":"10.1371/journal.pone.0175951","title":"Vertical ground reaction force marker for Parkinson’s disease","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Support vector machine; Random forest; Artificial intelligence; Computer science; Gait; Gait analysis; Pattern recognition (psychology); Feature selection; Center of pressure (fluid mechanics); Ground reaction force; STRIDE; Machine learning; Radial basis function kernel; Parkinson's disease; Physical medicine and rehabilitation; Medicine; Disease; Kernel method; Engineering; Pathology","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":[0.00041848,0.0004889118,0.000337361,0.001148254,0.0001452799,0.0005198767,0.0002280246,0.0005853315,0.001606056],"category_scores_gemma":[0.001278255,0.0001097757,0.000217825,0.0007497054,0.0001690103,0.0002638011,0.0002999261,0.0003599474,0.0005068955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541742,"about_ca_system_score_gemma":0.0001637343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614345,"about_ca_topic_score_gemma":0.002151387,"domain_scores_codex":[0.999762,0.00005133578,0.00003451366,0.00005650621,0.00008000398,0.00001559427],"domain_scores_gemma":[0.9994971,0.0001284109,0.0001893594,0.00003187493,0.0001213148,0.00003196717],"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":[0.002885839,0.0003929875,0.2986535,0.001511252,0.0003095518,0.001605859,0.000369558,0.003980059,0.1831491,0.00191528,0.0110043,0.4942228],"study_design_scores_gemma":[0.00009256372,0.001534553,0.8923833,0.0003768557,0.0002501543,0.006170244,0.0003411878,0.0357343,0.04341776,0.001781262,0.01782365,0.00009414404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052206,0.02275104,0.0531139,0.000603123,0.0007046765,0.0002860005,0.006175738,0.001020145,0.01012481],"genre_scores_gemma":[0.9747368,0.001933435,0.0192597,0.00009860684,0.00008429096,0.00009527354,0.00145354,0.00001565597,0.002322779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614345,"threshold_uncertainty_score":0.005372763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06413339103448751,"score_gpt":0.2864314598818939,"score_spread":0.2222980688474064,"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."}}