{"id":"W2561740778","doi":"10.82308/48151","title":"Identification of ankle joint stiffness using subspace methods","year":2010,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Joint (building); Identification (biology); Ankle; Computer science; Orthodontics; Medicine; Structural engineering; Engineering; Anatomy; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003999917,0.0006018964,0.0005882339,0.0005800309,0.0003193734,0.0005792343,0.0004142476,0.0004808664,0.002409579],"category_scores_gemma":[0.001382088,0.0003380547,0.0006684746,0.0005280506,0.0003153819,0.0007469815,0.0008023733,0.0004578348,0.0007205973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971311,"about_ca_system_score_gemma":0.0008727559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621722,"about_ca_topic_score_gemma":0.005292184,"domain_scores_codex":[0.9997111,0.0000819276,0.00001437599,0.00007473706,0.00008688837,0.00003091501],"domain_scores_gemma":[0.9995241,0.0002209848,0.00006337433,0.00006707184,0.0001008108,0.0000236996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001425613,0.00007461003,0.002184396,0.0002039206,0.0001251812,0.0000937945,0.0002063593,0.5440518,0.03629899,0.008809499,0.001062239,0.4067467],"study_design_scores_gemma":[0.000004853226,0.0000370678,0.001147408,0.00001038709,0.000007499975,0.00004198842,0.00002914081,0.9918194,0.002785232,0.002994405,0.001106772,0.00001591799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01470627,0.0001353873,0.9839997,0.00003157861,0.00001508999,0.000016149,0.00004818736,0.0003460987,0.0007014975],"genre_scores_gemma":[0.5477557,0.0006480301,0.4428697,0.0000568807,0.0000484962,0.0001692795,0.0004271422,0.0001548201,0.007870022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004621722,"threshold_uncertainty_score":0.009189606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121771388167535,"score_gpt":0.2856146072235248,"score_spread":0.2643968933418494,"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."}}