{"id":"W3015876813","doi":"10.1002/aisy.201900181","title":"Modeling and Emulating a Physiotherapist's Role in Robot‐Assisted Rehabilitation","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Innovation and Advanced Education; Canada Foundation for Innovation","keywords":"Telerehabilitation; Teleoperation; Haptic technology; Rehabilitation; Task (project management); Context (archaeology); Human–computer interaction; Computer science; Robot; Physical medicine and rehabilitation; Impedance control; Psychology; Simulation; Telemedicine; Artificial intelligence; Physical therapy; Health care; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003719151,0.000432481,0.0003237854,0.0002234912,0.0002593961,0.0009456574,0.001048183,0.001589874,0.003551654],"category_scores_gemma":[0.0009779722,0.0003345693,0.0003864316,0.0001496113,0.000725258,0.001006425,0.0008714313,0.0006056227,0.0007308679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004934942,"about_ca_system_score_gemma":0.001054015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006131316,"about_ca_topic_score_gemma":0.004719513,"domain_scores_codex":[0.9997255,0.0001026968,0.00001389885,0.00005880098,0.00006145945,0.00003747319],"domain_scores_gemma":[0.9997742,0.0001062557,0.00003520438,0.000026427,0.00003387035,0.00002420095],"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":[0.0001062298,0.0001646816,0.001212688,0.0001590571,0.00002648051,0.0003182919,0.0006101778,0.9370169,0.01125455,0.03085826,0.0006476943,0.01762496],"study_design_scores_gemma":[0.00002683438,0.0001173639,0.0004323784,0.00002074573,0.00001175879,0.00007638778,0.000118545,0.98962,0.001086989,0.005149927,0.003325558,0.00001364111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038283,0.0004800388,0.8571849,0.0008939109,0.000114042,0.000217358,0.0001812372,0.0006701203,0.03643002],"genre_scores_gemma":[0.9257806,0.0005396016,0.05655356,0.0001165209,0.00003539035,0.000344395,0.00008181742,0.00004842988,0.01649966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006131316,"threshold_uncertainty_score":0.0121913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707637165263323,"score_gpt":0.2416769947870309,"score_spread":0.2246006231343976,"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."}}