{"id":"W2075453948","doi":"10.1109/tnsre.2012.2202250","title":"Design and Evaluation of an Orthotic Knee-Extension Assist","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Waterloo","funders":"","keywords":"Ankle; Extension (predicate logic); Knee flexion; Knee Joint; Computer science; Moment (physics); Physical medicine and rehabilitation; Range of motion; Modular design; Medicine; Orthodontics; Physical therapy; Surgery; Physics","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":[0.0008224612,0.0001534159,0.000186399,0.0001925979,0.00007056827,0.00002512612,0.00002820051,0.00009008765,0.000003505636],"category_scores_gemma":[0.00002382096,0.0001391215,0.0000390086,0.0001514093,0.00004848173,0.0003005434,6.760676e-7,0.0001187068,0.000001036476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005195355,"about_ca_system_score_gemma":0.000007670546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007899568,"about_ca_topic_score_gemma":8.095341e-7,"domain_scores_codex":[0.9989859,0.0001130993,0.000321873,0.0001465082,0.0002597876,0.0001727984],"domain_scores_gemma":[0.999194,0.0003524301,0.00003725057,0.0001605225,0.0001282155,0.0001275789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006921402,0.00004700194,0.00005239975,0.0002437983,0.00001736539,8.091305e-8,0.0006888162,0.9824963,0.008983811,0.0001157477,0.000002084013,0.007345643],"study_design_scores_gemma":[0.0003452861,0.0002593762,0.009874728,0.00008547007,0.00006211567,0.00001539089,0.000230316,0.9881548,0.0007876219,0.00001481328,0.00001758533,0.0001524567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6470906,0.0005188789,0.3510717,0.00002237502,0.0007512419,0.0004424029,0.000003778493,0.0000916729,0.000007341538],"genre_scores_gemma":[0.9935334,0.00001644426,0.006306648,0.000002521255,0.00002820548,0.0000744753,0.000001566085,0.00003059514,0.000006189956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3464428,"threshold_uncertainty_score":0.5673212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010291363096198,"score_gpt":0.242217145902078,"score_spread":0.222114232271116,"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."}}