{"id":"W4393422809","doi":"10.5281/zenodo.8274544","title":"SuperDARN Grid data in netCDF format (2016-Jun)","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; Grid cell; Geology; Computer graphics (images); Database; Meteorology; Geodesy; Geography; Operating system","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":[0.002063397,0.0003238712,0.0003780669,0.0005907127,0.001231964,0.002658199,0.01219991,0.0002072725,0.0007249166],"category_scores_gemma":[0.0007303355,0.0003383926,0.00006346243,0.001575037,0.0000968893,0.000804238,0.01370643,0.0007593121,0.07594818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805689,"about_ca_system_score_gemma":0.00002447298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003199073,"about_ca_topic_score_gemma":0.000007711733,"domain_scores_codex":[0.996157,0.0006193646,0.0006014482,0.001104338,0.0007611222,0.0007567373],"domain_scores_gemma":[0.9957153,0.00007814649,0.0002324539,0.003426233,0.0003169069,0.0002309806],"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":[0.000008476958,0.00007759264,3.672471e-7,0.0001697081,0.00002934645,0.0000907614,0.0001369457,0.0001077178,0.000002988854,0.0002561699,0.9905069,0.008613045],"study_design_scores_gemma":[0.0003739876,0.0001034346,0.00004582983,0.0001830723,0.000008586735,0.0001408011,0.00003750247,0.006345688,9.869919e-7,0.0000676495,0.9923357,0.0003567278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001606384,0.000141271,0.009036316,0.0004992425,0.00123096,0.0005086852,0.9838033,0.001371889,0.003392236],"genre_scores_gemma":[0.0002302259,0.0002789397,0.0001874287,0.0001231447,0.0004762846,5.592685e-8,0.9975885,0.0006778956,0.0004375489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07522327,"threshold_uncertainty_score":0.9999068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06460484169524965,"score_gpt":0.2738299801239479,"score_spread":0.2092251384286982,"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."}}