{"id":"W6931071987","doi":"10.5281/zenodo.4450302","title":"biorbd: A C++, Python and MATLAB library to analyze and simulate the human body biomechanics","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Python (programming language); MATLAB; Inverse; Biomechanics; Inverse dynamics; Rigid body; Extensibility","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004780661,0.000156613,0.0002048499,0.0003526447,0.002525087,0.0007888885,0.0006440913,0.0002120484,0.03321102],"category_scores_gemma":[0.002600405,0.000138445,0.00003569448,0.0007805543,0.0003857111,0.00008479507,0.001220792,0.0002684783,0.0005918525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000279272,"about_ca_system_score_gemma":0.0000109231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337352,"about_ca_topic_score_gemma":0.00001515573,"domain_scores_codex":[0.9915607,0.007270046,0.0001557005,0.0004456972,0.0002518754,0.0003159722],"domain_scores_gemma":[0.9988301,0.0003909307,0.00009925394,0.0003682007,0.00009322465,0.0002182354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001971836,0.00007554892,0.00000987556,0.00007767145,0.0001364564,0.00006372673,0.005840492,6.325038e-7,0.00304026,0.009881182,0.9467399,0.03393706],"study_design_scores_gemma":[0.0001509214,0.00008062663,0.0003304214,0.00005682295,0.00002021588,0.00001487661,0.0007885962,0.00001153273,0.00006890985,0.0002368254,0.9980748,0.0001654379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01883339,0.002234709,0.0009137226,0.006145011,0.000382376,0.001257257,0.0005176881,0.001584827,0.968131],"genre_scores_gemma":[0.04368679,0.004572582,0.001832619,0.001692268,0.00133153,2.675724e-7,0.002239512,0.01072286,0.9339216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0513349,"threshold_uncertainty_score":0.9987735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233205791689642,"score_gpt":0.3731984139531775,"score_spread":0.2498778347842133,"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."}}