{"id":"W2901183903","doi":"10.1016/j.mechatronics.2018.03.002","title":"Haptics-enabled Interactive NeuroRehabilitation Mechatronics: Classification, Functionality, Challenges and Ongoing Research","year":2018,"lang":"en","type":"article","venue":"Mechatronics","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; AGE-WELL","keywords":"Mechatronics; Neurorehabilitation; Terminology; Engineering; Computer science; Systems engineering; Artificial intelligence; Rehabilitation; Psychology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742623,0.000187637,0.0002938304,0.0004189732,0.0003054107,0.00005512511,0.0001064419,0.0001804091,0.0001700239],"category_scores_gemma":[0.001538381,0.0001690699,0.0001170923,0.0002791391,0.0003952049,0.0002896015,0.0001102499,0.0005471418,0.0002468516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004416728,"about_ca_system_score_gemma":0.0003174808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572936,"about_ca_topic_score_gemma":0.00005166171,"domain_scores_codex":[0.9975818,0.000337769,0.0003996876,0.0006037318,0.0006349903,0.0004420607],"domain_scores_gemma":[0.9968202,0.001093525,0.0001121895,0.0004928737,0.00129454,0.0001866945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001577654,0.0009757732,0.006447989,0.001022805,0.0004280701,0.000005035587,0.01163546,0.00001404121,0.0430429,0.8046609,0.003880925,0.1263085],"study_design_scores_gemma":[0.008519861,0.01348805,0.3841172,0.0009929891,0.0003802069,0.0001722497,0.06744986,0.03405433,0.005092462,0.141893,0.3425979,0.001241934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957887,0.005041718,0.002718836,0.02115934,0.001151806,0.001227649,0.00001431105,0.0002062448,0.01059308],"genre_scores_gemma":[0.9915716,0.001755064,0.004828897,0.000212585,0.0005504023,0.00009083369,0.00003159059,0.00004218382,0.0009168519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6627679,"threshold_uncertainty_score":0.6894469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106428642627966,"score_gpt":0.3783638183937584,"score_spread":0.2719351757657924,"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."}}