{"id":"W4393458470","doi":"10.5281/zenodo.7652740","title":"SuperDARN Grid data in netCDF format (1998-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; Geodesy; Programming language","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":[0.0008766497,0.001107007,0.0008648188,0.003157534,0.0007950391,0.002679223,0.00196448,0.001274928,0.2582524],"category_scores_gemma":[0.004258383,0.0007097275,0.000898339,0.006317869,0.0002431276,0.002140554,0.001495629,0.001796556,0.2472401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390047,"about_ca_system_score_gemma":0.001781271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02781985,"about_ca_topic_score_gemma":0.02823327,"domain_scores_codex":[0.9992871,0.00005690084,0.00007769477,0.0001367924,0.0003150361,0.000126516],"domain_scores_gemma":[0.9979342,0.0002308246,0.0001574199,0.0005187744,0.0009973999,0.0001613886],"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":[0.00005230317,0.00001133421,0.0004165332,0.0001012144,0.000007971634,0.00001830198,0.00001537666,0.0002281719,0.0001365354,0.0006031074,0.9951189,0.003290365],"study_design_scores_gemma":[0.00007696127,0.000005789434,0.002519797,0.00007176426,0.000006361622,0.0000269249,0.00005668819,0.0002689817,0.0004536379,0.001228622,0.9952676,0.00001680634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002959586,0.0000283173,0.0005664084,0.0001343262,0.000148507,0.00002638665,0.9888002,0.002089055,0.007910914],"genre_scores_gemma":[0.0009241723,0.00004383497,0.001502704,0.00006520961,0.0000254642,0.00006274239,0.9915496,0.001249408,0.004576938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2582524,"threshold_uncertainty_score":0.8639403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06907198882201412,"score_gpt":0.2773378685929424,"score_spread":0.2082658797709283,"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."}}