{"id":"W4323314808","doi":"10.3390/s23052846","title":"An Adaptive Pedaling Assistive Device for Asymmetric Torque Assistant in Cycling","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Torque; Assistive device; Computer science; Simulation; Physical medicine and rehabilitation; Engineering; Physics; Medicine","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":[0.0001930646,0.0003300904,0.0002364088,0.00026355,0.0001155339,0.0002163061,0.0006543784,0.0003877897,0.001258055],"category_scores_gemma":[0.0003972137,0.000139668,0.0001398671,0.0001230315,0.0001507036,0.0002534965,0.0003127228,0.000141954,0.0003112372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007933685,"about_ca_system_score_gemma":0.0001181073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002804692,"about_ca_topic_score_gemma":0.0004899419,"domain_scores_codex":[0.9998214,0.00002719189,0.0000196744,0.00003969519,0.00007579728,0.00001628255],"domain_scores_gemma":[0.9998721,0.00003596934,0.00002912336,0.00001480244,0.0000361644,0.00001187469],"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":[0.0006152777,0.0003390242,0.002838262,0.0005436846,0.00002311577,0.0002895978,0.000102422,0.0006810493,0.8805617,0.0001931565,0.0005994563,0.1132133],"study_design_scores_gemma":[0.0004275503,0.007652818,0.1253874,0.000178178,0.0002568621,0.005598844,0.0001916799,0.07887144,0.7582342,0.0003860549,0.02267576,0.0001392968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580621,0.001424484,0.1351497,0.0001802367,0.0002367977,0.0003836457,0.0002656739,0.000721493,0.00357577],"genre_scores_gemma":[0.9708712,0.000300139,0.02589482,0.0001086768,0.00002680072,0.000115851,0.0001032744,0.00001382108,0.002565293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258055,"threshold_uncertainty_score":0.004208565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654834596131373,"score_gpt":0.3206348700520552,"score_spread":0.2740865240907414,"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."}}