{"id":"W2946088430","doi":"10.1017/s0263574719000651","title":"Learning and Reproduction of Therapist’s Semi-Periodic Motions during Robotic Rehabilitation","year":2019,"lang":"en","type":"article","venue":"Robotica","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rehabilitation; Motion (physics); Artificial intelligence; Robot; Task (project management); Computer science; Population; Gaussian; Physical medicine and rehabilitation; Psychology; Computer vision; Machine learning; Engineering; 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":[0.0001728011,0.00009784809,0.0001582019,0.000116855,0.00007787807,0.00002289437,0.00003665848,0.00005867919,0.0001921731],"category_scores_gemma":[0.0001255591,0.0001060869,0.00003842051,0.000176098,0.00003219246,0.0001501621,0.00001445239,0.0002030528,0.00005142488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003780442,"about_ca_system_score_gemma":0.000006347741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005588976,"about_ca_topic_score_gemma":0.000001394494,"domain_scores_codex":[0.9992661,0.00005665265,0.0002209982,0.0002089155,0.0001116037,0.0001357702],"domain_scores_gemma":[0.9996329,0.00005945578,0.00004504417,0.000184156,0.00004137896,0.00003704432],"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":[0.000003497604,0.000008754284,0.02542423,0.0001889361,0.0000160364,2.267296e-7,0.000942157,0.9405415,0.03189735,0.0003999989,0.00000847403,0.0005688434],"study_design_scores_gemma":[0.0004432502,0.0001325905,0.397242,0.0001369227,0.00002300278,0.00001568889,0.0007697436,0.5996729,0.0009608132,0.0001146309,0.0002621138,0.0002263826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829752,0.0003719215,0.01371655,0.0002526714,0.0002952222,0.0002263951,9.327751e-8,0.0002936242,0.001868315],"genre_scores_gemma":[0.9970636,0.00005290195,0.002073017,0.000002984417,0.0000453782,0.000005279378,0.000005644743,0.00002761539,0.0007235266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3718178,"threshold_uncertainty_score":0.4326097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319265954460987,"score_gpt":0.2102286205959092,"score_spread":0.2039093546414482,"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."}}