{"id":"W4409764559","doi":"10.1177/02783649251323282","title":"Quasi-passive shoulder exoskeleton with enhanced assistance variability to adapt to frequent load changes","year":2025,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Exoskeleton; Computer science; Physical medicine and rehabilitation; Control theory (sociology); Simulation; Medicine; Artificial intelligence; Control (management)","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":[0.0003009628,0.000380472,0.0002982924,0.0002568616,0.00008830241,0.0002316336,0.0004241667,0.0002926139,0.001295183],"category_scores_gemma":[0.0004878071,0.0001673463,0.0002514604,0.0001086273,0.0001759313,0.0004132146,0.0004876551,0.0002255868,0.0002826025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004453236,"about_ca_system_score_gemma":0.0001019767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007443127,"about_ca_topic_score_gemma":0.0001559194,"domain_scores_codex":[0.9998676,0.00002473212,0.00001644828,0.00003248413,0.00004500227,0.00001368008],"domain_scores_gemma":[0.9998416,0.0000636046,0.00003421297,0.00002303522,0.00002608063,0.00001140117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005271279,0.0003437383,0.000853898,0.0008041544,0.00006153679,0.000236504,0.0001322887,0.01531159,0.8923963,0.0006137805,0.0005528369,0.08816634],"study_design_scores_gemma":[0.000871943,0.01315561,0.0432846,0.0003308023,0.0002898523,0.00324649,0.0003014421,0.5145085,0.3908881,0.006847377,0.02607688,0.0001983761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4812892,0.00102036,0.5112836,0.0002099836,0.0001390702,0.0002443162,0.0001807301,0.001145596,0.004487314],"genre_scores_gemma":[0.9590675,0.0002638282,0.03791371,0.00009275887,0.00003478623,0.0002881899,0.00009483414,0.00004990669,0.002194413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001295183,"threshold_uncertainty_score":0.004332781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830639604886614,"score_gpt":0.3477783120920856,"score_spread":0.3194719160432195,"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."}}