{"id":"W4389109091","doi":"10.1145/3628454.3631565","title":"Freezing of Gait Prediction Using Deep Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitas Brawijaya","keywords":"Overfitting; Gait; Computer science; Artificial intelligence; Deep learning; Machine learning; Autoencoder; Encoder; Physical medicine and rehabilitation; Artificial neural network; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006317454,0.00004042308,0.00006804479,0.0001399773,0.00002718885,0.000008063358,0.00002334608,0.00002575561,0.0003103779],"category_scores_gemma":[0.00001667173,0.00004115141,0.00004353741,0.0003543224,0.00000545694,0.00006069353,0.000008311794,0.00005690417,0.00007060215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001112728,"about_ca_system_score_gemma":0.000001577846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000168712,"about_ca_topic_score_gemma":0.000007466592,"domain_scores_codex":[0.9996838,0.000006908369,0.0001070451,0.00004933202,0.00006809225,0.00008481118],"domain_scores_gemma":[0.9998916,0.00001692043,0.00001152934,0.00003887064,0.0000195591,0.00002147049],"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":[5.662292e-7,0.000003867833,0.007404591,0.00004938193,0.00006182246,0.000001691132,0.0001493189,0.863783,0.10833,0.0000362408,0.0002568981,0.01992267],"study_design_scores_gemma":[0.00006245482,0.000003792561,0.001887642,0.00001476372,0.00001895765,9.179489e-7,0.0002705474,0.989055,0.008124579,0.00003503784,0.0004844668,0.00004180894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933749,0.00003371578,0.04844935,0.000005835122,0.00009720286,0.00002259215,0.000001656758,0.0007591639,0.01688154],"genre_scores_gemma":[0.9988506,0.0000406214,0.0006182826,0.000003534284,0.00003397607,0.000001093787,0.00001364376,0.00001061365,0.0004276448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.125272,"threshold_uncertainty_score":0.339842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852022134942965,"score_gpt":0.2181354273205919,"score_spread":0.1996152059711623,"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."}}