{"id":"W6968375403","doi":"10.5281/zenodo.208994","title":"firedrakeproject/firedrake: an automated finite element system","year":2016,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Set (abstract data type); Finite element method; Element (criminal law); Calculus (dental)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001390313,0.0002975175,0.0003041986,0.0004311879,0.001179936,0.001267373,0.001881427,0.0001927454,0.06750447],"category_scores_gemma":[0.0002584007,0.0002492978,0.00005600954,0.0003678327,0.0002244213,0.0002205097,0.001066641,0.0001803692,0.04963509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398258,"about_ca_system_score_gemma":0.00001425702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455466,"about_ca_topic_score_gemma":0.000001560173,"domain_scores_codex":[0.99678,0.0004869272,0.0003303014,0.0007938794,0.000801099,0.0008078199],"domain_scores_gemma":[0.998298,0.00002129288,0.0001836893,0.0008750508,0.0002555267,0.0003664247],"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":[0.0000267476,0.00008394455,1.481029e-7,0.0004089981,0.00002403163,0.00003888617,0.0002321688,0.00004933168,0.09490682,0.001905365,0.8850415,0.01728202],"study_design_scores_gemma":[0.0003250606,0.0001711784,0.000008761924,0.0002736842,0.00001113655,0.00005314322,0.00009808334,0.001335201,0.002549211,0.00000817956,0.9948376,0.0003286956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008196214,0.0001201324,0.004265453,0.0001816219,0.0007689576,0.001069151,0.001792765,0.01689386,0.9740884],"genre_scores_gemma":[0.1960908,0.0006494747,0.004013002,0.0001418399,0.004108386,0.000002424491,0.008481057,0.03770038,0.7488126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2252758,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637249549306588,"score_gpt":0.273753633406432,"score_spread":0.2473811379133661,"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."}}