{"id":"W4393420556","doi":"10.5281/zenodo.7652417","title":"SuperDARN Grid data in netCDF format (2001-Jul)","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; Computer graphics (images); Operating system; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002280072,0.0003256057,0.00038173,0.000587593,0.001239687,0.002637318,0.01218147,0.0002080304,0.0008166636],"category_scores_gemma":[0.0008423443,0.000346256,0.00006120934,0.001718712,0.0000934475,0.0007599047,0.01335277,0.0007796974,0.0634286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023325,"about_ca_system_score_gemma":0.00002328605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996988,"about_ca_topic_score_gemma":0.00001095232,"domain_scores_codex":[0.9960117,0.000633006,0.0006009844,0.001105738,0.000789391,0.0008592141],"domain_scores_gemma":[0.9957515,0.00007709667,0.0002269173,0.003363847,0.0003243825,0.0002562396],"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":[0.000008323663,0.00008586001,4.629012e-7,0.0001684638,0.00002931693,0.0001038678,0.0001268155,0.0001438267,0.000003233837,0.0002194451,0.9927159,0.006394502],"study_design_scores_gemma":[0.0003695123,0.0001079036,0.00005884863,0.0001496864,0.000008643916,0.0001551183,0.00003821002,0.008417662,8.529256e-7,0.00006050918,0.9902747,0.0003583468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001684198,0.0001080925,0.01072143,0.0005544344,0.001173994,0.0005112573,0.9820926,0.001378817,0.003442594],"genre_scores_gemma":[0.000232757,0.0002463688,0.0002219233,0.0001417055,0.0004652436,5.450689e-8,0.9976436,0.0006799563,0.0003683147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06261194,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07712272508397801,"score_gpt":0.2814329873862894,"score_spread":0.2043102623023114,"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."}}