{"id":"W4393450990","doi":"10.5281/zenodo.7823771","title":"SuperDARN Grid data in netCDF format (2019-Dec)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Grid; Computer science; Database; Meteorology; Geology; Operating system; Geodesy; Geography","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002082918,0.000324412,0.0003814813,0.0005913261,0.001212119,0.002740011,0.01244537,0.0002096766,0.0006603223],"category_scores_gemma":[0.0007307298,0.0003426571,0.00006391768,0.001596444,0.00009288419,0.0007741918,0.0139396,0.0006780892,0.06322715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809277,"about_ca_system_score_gemma":0.00002130368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003824175,"about_ca_topic_score_gemma":0.000009607721,"domain_scores_codex":[0.9961225,0.0006185723,0.0006037654,0.001111524,0.0007889197,0.0007547589],"domain_scores_gemma":[0.9956538,0.000080485,0.0002326668,0.003483934,0.0003185034,0.0002306285],"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":[0.000008394075,0.00007822964,3.984149e-7,0.000148824,0.00002930742,0.00008926208,0.0001313834,0.0001276449,0.000003401558,0.0002686426,0.9914305,0.007684022],"study_design_scores_gemma":[0.0003747997,0.0001039884,0.00006504785,0.0001483796,0.000008566207,0.0001519441,0.00003130061,0.004927025,9.591965e-7,0.00006895087,0.9937607,0.0003583158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001958011,0.000145675,0.009484914,0.0005031137,0.001203038,0.0005030576,0.9840995,0.001352728,0.002688413],"genre_scores_gemma":[0.000192859,0.0002654468,0.0001873638,0.0001203527,0.0004525727,4.848454e-8,0.9976898,0.000686348,0.0004052357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06256682,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06266293731466126,"score_gpt":0.2751101424764663,"score_spread":0.212447205161805,"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."}}