{"id":"W6969364483","doi":"10.5281/zenodo.4666463","title":"pyomeca/biorbd: PyVec","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Python (programming language); 3d model; Robustness (evolution)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003149,0.003301922,0.001841097,0.001663668,0.001461135,0.00380676,0.004009928,0.002168416,0.2633958],"category_scores_gemma":[0.00472095,0.002382978,0.002581367,0.001702288,0.0009872528,0.005369728,0.004720279,0.004053641,0.3122377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365493,"about_ca_system_score_gemma":0.001614965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006394216,"about_ca_topic_score_gemma":0.006625572,"domain_scores_codex":[0.9986625,0.00012963,0.00006697684,0.0004698501,0.0004796368,0.0001913242],"domain_scores_gemma":[0.9989728,0.0002187826,0.00004363655,0.0003784326,0.0002537703,0.0001326092],"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":[0.00009088862,0.00001857621,0.0002166817,0.0001677919,0.00002472684,0.00002674081,0.00004223941,0.0005318996,0.001478828,0.002666272,0.9716526,0.02308276],"study_design_scores_gemma":[0.00008796778,0.00001962329,0.0005700294,0.00008658646,0.00002297218,0.0001319269,0.00004256543,0.01349723,0.01403791,0.01567287,0.9557087,0.0001215454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001056278,0.0003069534,0.07826777,0.0006599834,0.0008018133,0.00007343891,0.1018631,0.7958534,0.02111746],"genre_scores_gemma":[0.0193137,0.0007386603,0.09216447,0.001767304,0.0002629136,0.0007221055,0.3122336,0.5108126,0.06198457],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2633958,"threshold_uncertainty_score":0.8811469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646973732440482,"score_gpt":0.236646916693801,"score_spread":0.2101771793693962,"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."}}