{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007395927,0.0001873229,0.0002717502,0.0008262856,0.0001672855,0.00008937952,0.0006323904,0.0001465468,0.000001115817],"category_scores_gemma":[0.000411024,0.0001856299,0.00008160689,0.002436896,0.00005729229,0.0002082233,0.000104246,0.0002524859,0.0000517142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346828,"about_ca_system_score_gemma":0.0000726992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007498,"about_ca_topic_score_gemma":0.0001402409,"domain_scores_codex":[0.9981762,0.0001163145,0.0003019817,0.0006513235,0.0002103191,0.0005438949],"domain_scores_gemma":[0.9985787,0.0006187683,0.0001260171,0.0004496656,0.0001400492,0.00008683663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002837442,0.0008430701,0.06215169,0.0001677791,0.00023337,0.001003428,0.004619787,0.04224382,0.01717306,0.2784074,0.001047718,0.5918251],"study_design_scores_gemma":[0.0009215727,0.0005446909,0.2541256,0.000108615,0.00001817409,0.00001299787,0.001401549,0.7259735,0.009416383,0.005305069,0.001544763,0.0006270852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772208,0.00004931701,0.1190673,0.000817084,0.0004341764,0.0003071913,0.00001688784,0.001104033,0.0009832681],"genre_scores_gemma":[0.9636805,0.00000748975,0.03596681,0.00007739271,0.00006591813,0.00004395266,0.000007126614,0.00002057837,0.0001301999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6837297,"threshold_uncertainty_score":0.756977,"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."}}