{"id":"W4281896796","doi":"10.3390/mi13060842","title":"Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fuzzy logic; Ambiguity; Computer science; Process (computing); Set (abstract data type); Generator (circuit theory); Artificial intelligence; Fuzzy control system; Control engineering; Engineering","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":[0.0004351571,0.000204504,0.0003897568,0.0002336221,0.0003888116,0.00002431679,0.0001292828,0.00006994373,0.0003753747],"category_scores_gemma":[0.0002496807,0.0001715265,0.0004262082,0.0002749517,0.00009453989,0.00005281794,0.00005570997,0.0001900606,0.00001135169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061003,"about_ca_system_score_gemma":0.0002253506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002488651,"about_ca_topic_score_gemma":0.000001367363,"domain_scores_codex":[0.9985783,0.0001054172,0.000349765,0.0004696432,0.0002352302,0.000261666],"domain_scores_gemma":[0.9989272,0.000347883,0.00009512354,0.0003825331,0.0001264882,0.0001207845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006014274,0.008970962,0.4356152,0.003608174,0.0003571415,0.00005188126,0.006068897,0.006890263,0.2751702,0.004109852,0.1817375,0.07140568],"study_design_scores_gemma":[0.02383649,0.005665168,0.2311062,0.0001979678,0.0008450579,0.0005298562,0.005280498,0.04934451,0.006072849,0.004577842,0.6705044,0.002039184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849262,0.00247333,0.003427327,0.004153428,0.0007240298,0.002100165,0.0002373271,0.0002411602,0.001717068],"genre_scores_gemma":[0.8197793,0.00000796349,0.1717956,0.001960336,0.0003190389,0.001835042,0.0005339894,0.00006334105,0.003705292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4887669,"threshold_uncertainty_score":0.6994646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142353747878524,"score_gpt":0.2675589496751036,"score_spread":0.2533235748872512,"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."}}