{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001356083,0.0005720909,0.0007501942,0.0005179083,0.0003838372,0.00007238302,0.0004538973,0.001000068,0.00006765571],"category_scores_gemma":[0.000655711,0.0006303968,0.000342931,0.0005816409,0.00008543438,0.000355002,0.00005849533,0.001410292,0.0000392877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180795,"about_ca_system_score_gemma":0.00004374383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004714885,"about_ca_topic_score_gemma":0.0001491841,"domain_scores_codex":[0.9968979,0.0002303384,0.001308016,0.0005892195,0.0005412051,0.0004333523],"domain_scores_gemma":[0.997476,0.0001974207,0.0005973493,0.0008744698,0.0006538496,0.0002009337],"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":[0.00001597118,0.0000772304,0.000005618027,0.0009275212,0.0001087971,0.000002807413,0.00002498969,0.011569,0.9106676,0.01840856,9.955704e-7,0.05819091],"study_design_scores_gemma":[0.0004475162,0.00004270948,0.001757758,0.0004185961,0.0003079327,0.000009686262,0.0003466657,0.0140895,0.9609352,0.01778954,0.002822217,0.001032671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896865,0.000419619,0.0001061272,0.000005808139,0.003969304,0.0006722057,0.0004763336,0.0003013634,0.004362706],"genre_scores_gemma":[0.9763551,0.0001193275,0.02168288,0.00001001381,0.00003952121,0.00005435431,0.0003706087,0.0002746241,0.001093522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05715824,"threshold_uncertainty_score":0.9996147,"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."}}