{"id":"W3216097361","doi":"10.5281/zenodo.5639724","title":"feelpp/feelpp: Feel++ V109 RC 2","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Military Institute","funders":"","keywords":"Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006074976,0.0001570131,0.0001631446,0.0001954446,0.001917614,0.001618082,0.00192942,0.00007673922,0.002389094],"category_scores_gemma":[0.0005139944,0.0001744458,0.00007279758,0.001071699,0.00008146594,0.0004372081,0.002323791,0.0002700201,0.003947907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038208,"about_ca_system_score_gemma":0.00001222399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004593443,"about_ca_topic_score_gemma":1.283874e-7,"domain_scores_codex":[0.9978764,0.0004158711,0.0002759724,0.000604569,0.0004193274,0.0004078274],"domain_scores_gemma":[0.9979034,0.0000336444,0.0001069973,0.0008882589,0.0008770112,0.0001906657],"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":[0.00001571965,0.0002959984,0.000005910752,0.00005547288,0.00005601644,0.0001652874,0.001803227,0.001478258,0.004268378,0.09818283,0.5960371,0.2976358],"study_design_scores_gemma":[0.0003058759,0.0001041055,0.0001435096,0.0000316675,0.000004954496,0.0002993768,0.00007327581,0.02049227,0.004202824,0.001400991,0.9726956,0.0002455538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001172656,0.0001651321,0.7995101,0.002205259,0.0001563169,0.0001807643,0.00001976101,0.003534471,0.1930555],"genre_scores_gemma":[0.7992008,0.0005882836,0.1761436,0.002655185,0.0005888554,1.86901e-7,0.001614668,0.002506126,0.01670236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7980281,"threshold_uncertainty_score":0.9994183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274004376368501,"score_gpt":0.2504523930345591,"score_spread":0.2177123492708741,"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."}}