{"id":"W4393487054","doi":"10.5281/zenodo.7648214","title":"SuperDARN Grid data in netCDF format (2014-Jan)","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; Computer graphics (images); Database; Geology; Programming language; Geodesy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008991864,0.001123779,0.0009321869,0.002865667,0.0008645852,0.002877678,0.002090676,0.001442648,0.2765693],"category_scores_gemma":[0.004996947,0.0007278649,0.001044682,0.005066335,0.0003039351,0.002624892,0.002008002,0.001891203,0.2649712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345403,"about_ca_system_score_gemma":0.001864447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02428668,"about_ca_topic_score_gemma":0.02856019,"domain_scores_codex":[0.9992441,0.00007018245,0.00008597729,0.0001560714,0.0002988129,0.0001448246],"domain_scores_gemma":[0.997927,0.0002565878,0.0001426264,0.0005136512,0.0009942927,0.0001658182],"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":[0.00003821351,0.00001002491,0.000421887,0.0001213936,0.000009066002,0.00001569593,0.00001580851,0.0002298442,0.0001221202,0.000602835,0.9956208,0.002792267],"study_design_scores_gemma":[0.00007416472,0.000005431885,0.002075829,0.00009138072,0.000007156877,0.00002422295,0.0000684769,0.0002964728,0.000449446,0.001600702,0.9952867,0.00002002909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002389474,0.00003062382,0.0005821873,0.0001562052,0.0001559531,0.0000277595,0.9900587,0.0026262,0.006123351],"genre_scores_gemma":[0.0009953597,0.00005089119,0.001619473,0.00009568405,0.00002847387,0.00007550206,0.99125,0.001584199,0.004300337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2765693,"threshold_uncertainty_score":0.9252165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06080003180777961,"score_gpt":0.2737190869396802,"score_spread":0.2129190551319006,"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."}}