{"id":"W4395002414","doi":"10.3390/s24082649","title":"Implementing Gait Kinematic Trajectory Forecasting Models on an Embedded System","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Computer science; Kinematics; Gait; Motion capture; Trajectory; Wearable computer; Artificial intelligence; Simulation; Motion (physics); Embedded system","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":[0.0003658267,0.0004873925,0.0003598989,0.0002230939,0.0001666494,0.000378515,0.0007102634,0.0004377563,0.001853859],"category_scores_gemma":[0.001443966,0.0002166754,0.0002593315,0.0001976737,0.0001785787,0.0007516852,0.0004083624,0.0005116491,0.0004683107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317726,"about_ca_system_score_gemma":0.0005884332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00780401,"about_ca_topic_score_gemma":0.009530999,"domain_scores_codex":[0.9998788,0.00001736738,0.00001024693,0.00004115411,0.00003517423,0.0000172744],"domain_scores_gemma":[0.9996915,0.0001128128,0.00002741608,0.00004962683,0.0001011875,0.00001749016],"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":[0.0001419779,0.00008751496,0.002803311,0.00006475857,0.00005067122,0.0001309131,0.00007726312,0.8443905,0.01516997,0.001379785,0.00107914,0.1346243],"study_design_scores_gemma":[0.000003383672,0.00003446895,0.0003781187,0.000004018578,0.000006278633,0.00001338151,0.000008064361,0.995939,0.002852749,0.0003727704,0.0003834282,0.000004336868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1533363,0.0001669758,0.8392438,0.0001947557,0.0001065074,0.00007213278,0.0002332075,0.004492257,0.002154114],"genre_scores_gemma":[0.8974299,0.0001129848,0.1001341,0.00006499877,0.00001684163,0.00008869202,0.0002608838,0.00006090315,0.001830805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00780401,"threshold_uncertainty_score":0.01551718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07428746450926299,"score_gpt":0.3731126817088717,"score_spread":0.2988252171996088,"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."}}