{"id":"W2914759026","doi":"10.1088/1755-1315/231/1/012045","title":"Implementing the Model/View architecture in software of Brewer Network Spectrophotometer for long-term monitoring of UV radiation and ozone atmospheric content","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Computer science; Software; Codebase; Software architecture; Operating system; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215865,0.0001172442,0.0001922741,0.000006737221,0.000153918,0.00004273638,0.0001524084,0.00002773,0.0001722234],"category_scores_gemma":[0.00000940135,0.00008173696,0.00002728395,0.0001517516,0.0004386776,0.0003133784,0.00005499546,0.00007134564,0.000001563038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004532367,"about_ca_system_score_gemma":0.00003000274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804423,"about_ca_topic_score_gemma":0.0002568735,"domain_scores_codex":[0.998914,0.0000197343,0.0002279318,0.0002503612,0.0002112484,0.0003767383],"domain_scores_gemma":[0.9996043,0.00005603639,0.0001328176,0.0001321365,0.000008825104,0.00006587968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004701541,0.000006112077,0.9108973,0.00003734192,0.000004644749,4.287955e-7,0.0002967419,0.00243755,0.006157008,0.00001782129,2.271839e-7,0.0800978],"study_design_scores_gemma":[0.0002602277,0.0002326856,0.9899152,0.00004312319,0.000008578325,0.000006343885,0.0005460914,0.006010129,0.002749027,0.00009772199,0.00002890861,0.0001019458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977718,0.001210707,0.0004447775,0.00003291989,0.00007234011,0.0003548797,0.00003026607,0.000004599222,0.00007768944],"genre_scores_gemma":[0.9935895,0.001240163,0.005033377,0.00002500893,0.00001792282,0.000003293067,0.00001052272,0.000002668425,0.00007755518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07999586,"threshold_uncertainty_score":0.3333136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524460959544349,"score_gpt":0.208178803935273,"score_spread":0.1929341943398295,"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."}}