{"id":"W2483269234","doi":"10.1016/j.jbiomech.2016.07.036","title":"Quantifying Achilles tendon force in vivo from ultrasound images","year":2016,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Achilles tendon; In vivo; Ultrasound; Tendon; Biomedical engineering; Medicine; Anatomy; Radiology; Biology","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":[0.0001479853,0.0001033587,0.0001888148,0.0003004427,0.00003006957,0.00002594,0.0001180578,0.00004948082,0.00004894188],"category_scores_gemma":[0.00006506624,0.00006888175,0.00009080361,0.0002389285,0.00001150566,0.0002806188,0.00001126198,0.0001030527,0.000001263087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000568317,"about_ca_system_score_gemma":0.000008556625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009073602,"about_ca_topic_score_gemma":0.00002151485,"domain_scores_codex":[0.9992904,0.00001664621,0.0003022142,0.00006844365,0.0001485596,0.0001737119],"domain_scores_gemma":[0.9995404,0.0001841687,0.000100498,0.00008368039,0.00004811146,0.00004317725],"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":[0.0000128707,0.00001530798,0.0002746803,0.000008060585,0.00007304435,0.000006281016,0.00009014473,0.000006887481,0.9396666,0.00006897336,0.001152878,0.05862424],"study_design_scores_gemma":[0.0009518411,0.0001094332,0.002797853,0.0002200934,0.00002153156,0.00003205331,0.000398324,0.0003154787,0.9881709,0.002593584,0.004183805,0.0002051051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624759,0.001877837,0.03420189,0.0003775495,0.00059482,0.00005707663,0.00002330012,0.00005391006,0.0003377103],"genre_scores_gemma":[0.9961539,0.00267185,0.001004242,0.00002902557,0.0001055999,0.000001141802,3.674872e-7,0.0000160359,0.00001784416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05841913,"threshold_uncertainty_score":0.2808917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531753468385692,"score_gpt":0.2307492158183489,"score_spread":0.215431681134492,"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."}}