{"id":"W2109697640","doi":"10.1109/iembs.1989.95962","title":"Identification of the time varying mechanics of isolated skeletal muscle","year":2003,"lang":"en","type":"article","venue":"","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stiffness; Muscle stiffness; Linearity; Hysteresis; Nonlinear system; Skeletal muscle; Mechanics; Physics; Mathematics; Biophysics; Computer science; Control theory (sociology); Chemistry; Anatomy; Thermodynamics; Artificial intelligence; Biology","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":[0.00007780563,0.00004342001,0.00006443234,0.00001280101,0.00004477114,0.000005227387,0.0001074226,0.00001654003,0.0004708413],"category_scores_gemma":[0.000001766434,0.00003216363,0.00006366747,0.0001463002,0.00001748547,0.00002997812,0.00001884865,0.00003720227,0.00001182485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003933928,"about_ca_system_score_gemma":0.0000152684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000340706,"about_ca_topic_score_gemma":1.383945e-7,"domain_scores_codex":[0.9996186,0.00001353252,0.0001872381,0.00007226611,0.00004842876,0.00005989078],"domain_scores_gemma":[0.9995858,0.000008968096,0.0001263002,0.0002228581,0.00004619728,0.000009861725],"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":[2.181394e-7,0.00003832268,0.00004907395,0.000002536075,0.000006320596,1.607994e-9,0.00002227525,0.00002869497,0.7547489,0.2443661,0.0001632188,0.0005742736],"study_design_scores_gemma":[0.00006265789,0.000009201091,0.00006811996,0.000006666342,0.00001314824,9.384195e-8,0.00003318325,0.005161322,0.9759622,0.01725956,0.001378027,0.00004579453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3664683,0.00001319821,0.6052771,0.00007585469,0.00004087988,0.0004061835,0.00004304786,0.00003782407,0.02763766],"genre_scores_gemma":[0.9976308,4.711409e-7,0.001198875,0.000006787126,0.000004713512,0.00001021203,0.000005141836,0.000005704357,0.001137258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6311625,"threshold_uncertainty_score":0.5155382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005562834945309002,"score_gpt":0.2393408862941669,"score_spread":0.2337780513488579,"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."}}