{"id":"W1986893697","doi":"10.1115/1.1634285","title":"A New Method to Measure Post-Traumatic Joint Contractures in the Rabbit Knee","year":2003,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Canadian Orthopaedic Foundation","keywords":"Measure (data warehouse); Muscle contracture; Knee Joint; Rabbit (cipher); Joint Contracture; Joint (building); Physical medicine and rehabilitation; Computer science; Medicine; Psychology; Structural engineering; Mathematics; Contracture; Anatomy; Surgery; Statistics; Engineering; Data mining","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":[0.002721192,0.0001115824,0.0003539624,0.0003122214,0.00001603774,0.00001678413,0.00006072045,0.0000910747,0.00006331639],"category_scores_gemma":[0.002551756,0.00006487995,0.0001946038,0.0003994676,0.000004307184,0.00006925241,0.000006089754,0.0003863014,0.000004482417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005808247,"about_ca_system_score_gemma":0.0001183064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009844669,"about_ca_topic_score_gemma":0.00000203524,"domain_scores_codex":[0.9986835,0.0001216363,0.0005411889,0.00008886943,0.0003862461,0.0001785654],"domain_scores_gemma":[0.9989479,0.0005158499,0.00009849331,0.0001239882,0.0001060385,0.0002077502],"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":[0.000218549,0.0002328254,0.0000638092,0.0001513717,0.000134174,0.0002387246,0.002329025,0.00250176,0.9012437,0.001947514,0.0003054189,0.09063306],"study_design_scores_gemma":[0.02463859,0.02052754,0.09442326,0.009938344,0.001818209,0.02710384,0.01503904,0.0139046,0.6232156,0.004358853,0.1627058,0.002326365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4139849,0.000759403,0.5777737,0.006282984,0.0006253454,0.0004003159,8.91303e-7,0.00001875091,0.0001537288],"genre_scores_gemma":[0.9372352,0.000005939149,0.06185037,0.0006827364,0.0001761152,0.000003048587,3.450347e-7,0.0000132421,0.00003302661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5232503,"threshold_uncertainty_score":0.3054875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138034529675437,"score_gpt":0.2854101647535892,"score_spread":0.2640298194568348,"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."}}