{"id":"W2111878343","doi":"10.1109/icorr.2011.5975434","title":"Online learning and adaptation of patient support during ADL training","year":2011,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Activities of daily living; Robotic arm; Adaptation (eye); Physical medicine and rehabilitation; Rehabilitation; Motor learning; Computer science; Robot; Training (meteorology); Artificial intelligence; Psychology; Physical therapy; Medicine; Neuroscience","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":[0.0007118905,0.0005346865,0.0006022913,0.0002160724,0.0001420341,0.0003190342,0.0006379131,0.0006864085,0.0008416654],"category_scores_gemma":[0.003134006,0.0002794059,0.0002104811,0.0001401313,0.0002438512,0.0004264316,0.0005007369,0.0005527923,0.0002160365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078743,"about_ca_system_score_gemma":0.0003940687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375378,"about_ca_topic_score_gemma":0.003097873,"domain_scores_codex":[0.9998047,0.00006447907,0.00001206602,0.00005204324,0.00003101527,0.00003577548],"domain_scores_gemma":[0.9992849,0.0004262452,0.00007570338,0.00005320306,0.0001117456,0.00004816357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004384915,0.0005467085,0.005143689,0.00008199913,0.00005239781,0.0001312642,0.0001803089,0.7867031,0.006109779,0.0003899027,0.0005523778,0.19967],"study_design_scores_gemma":[0.00000937526,0.00008953374,0.000850878,0.000002843415,0.000004669553,0.0000132764,0.000008455887,0.9978178,0.0009191319,0.0002070673,0.00007263529,0.000004437826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6399081,0.0003688961,0.3549434,0.000325718,0.00004693205,0.0001878329,0.0001042247,0.001051228,0.003063782],"genre_scores_gemma":[0.9894083,0.00003819553,0.009874414,0.00002648989,0.000005345624,0.00005318351,0.0000360566,0.000009017357,0.0005490204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375378,"threshold_uncertainty_score":0.007463872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286526501591828,"score_gpt":0.2702334763250061,"score_spread":0.2273682113090878,"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."}}