{"id":"W7093296427","doi":"10.5281/zenodo.17416693","title":"FEniCS/ffcx: v0.10.0","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"German Social Sciences and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia Bible College","funders":"","keywords":"Python (programming language); Hash function; Polygon mesh; Quadrilateral; Graph; Source code","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002355775,0.0004286403,0.0005027216,0.0005916616,0.0135644,0.002192529,0.004024948,0.0005377639,0.6284498],"category_scores_gemma":[0.001353406,0.0004952204,0.0002862336,0.002016584,0.002000293,0.0003288371,0.0022392,0.0007779915,0.1277867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016306,"about_ca_system_score_gemma":0.00009399445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00078961,"about_ca_topic_score_gemma":0.00003754323,"domain_scores_codex":[0.9942694,0.001388781,0.0005662019,0.001192489,0.001421442,0.001161658],"domain_scores_gemma":[0.9969221,0.00006111133,0.0004766633,0.0007723645,0.001172682,0.0005951104],"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":[0.00002283431,0.0001339731,4.3549e-7,0.00007178028,0.0000630373,0.000009966911,0.007953775,0.000002569209,0.00004823279,0.03596822,0.8258805,0.1298447],"study_design_scores_gemma":[0.0003473835,0.0001602143,0.00007513485,0.0001360975,0.00006088009,0.000004773256,0.003211267,0.00002527037,0.000005294543,0.0008377274,0.9946261,0.0005098642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008085456,0.0007554897,0.0004071661,0.002518755,0.001059144,0.0008444184,0.0004165831,0.000862285,0.9930553],"genre_scores_gemma":[0.01262413,0.001573988,0.0001040728,0.00034094,0.001369191,6.422786e-8,0.0006566443,0.00297907,0.9803519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.500663,"threshold_uncertainty_score":0.99975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781808984461381,"score_gpt":0.2743553219708406,"score_spread":0.2365372321262268,"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."}}